Business applications Books

Book SynopsisWritten from the perspective of a Technical Project Manager, this study presents a scenario for a complete shift left software development effort.  It brings considerations for Test and Support as early as the Inception Stage.  Based on an innovative model - Development Process Activity Cycles (DPAC) - this representation allows visualization of progress including recursive activities.  The model is based on an interpretation of the Deming quality cycle of Plan Do, Check Act (PDCA).   Periodic Management reports are generated using configuration management data generated during the Act phase of each iteration.  There is no Test stage in the DPAC model; Test is represented in the back swing Check Phase of each iteration.This approach allows the user or Subject Mater Expert (SME) to contemplate the face of the system through several iterations of design and development, using the triad principle (Power of Three) matching a programmer, tester and membeTable of ContentsIntroduction. Traditional vs. Agile ApproachReview of the best known traditional models - waterfall, spiral, V -model - and alternative agile models - Scrum, SAFe, DAD, RUP/UP, DSDM, XP and introduction to DPACChapter 1. The DPAC ModelPresents the DPAC Model in a static view describing the Stages and Activity Cycles in generalized form. Shows where Test is included in the model in the backswing of the PDCA overlay for each cycle. Continuous testing.1.1 Intent and purpose 1.2 Phases of the DPAC activity cycles1.3 DPAC is inherently a “shift left” model 1.4 DPAC Embraces Agile and DevOps1.5 Activities represented in the DPAC model 1.6 Roles and responsibilities 1.7 Stages of Application Development 1.8 The objective of this model Paradigms as a hindrance to understanding 1.9 SummaryChapter 2. Why Include Support in a Development Model? Offers quotes referring to the importance of including maintenance in the development cycles. Displays statistics regarding the cost of maintenance as a part of the overall lifecycle.Every project that succeeds, even if challenged becomes a Support project. Shows the consequences of types of error. Cites the top ten software development problems from the perspective of maintenance. Building political and social capital.2.1 Statement of the Problem 2.2 To put this in terms of total cost… 2.3 Putting Support in the Equation 2.4. Freeing the statue from the stone2.5 Factors supporting code reliability2.6 Measures during development to improve software system maintainability. 2.7 Ameliorative measures 2.8 Political and Social Capital What’s AheadChapter 3. InceptionStresses the importance of a Vision Statement as a project charter. The role of the charter as a first step in creating “conceptual integrity.” Introduces non-functional requirements. Planning for security including privacy concerns.3.1 Goal: Achieving Consensus 3.2 Nine Objectives 3.3 The importance of the Vision Statement 3.4 Introduction to the Traceability Matrix 3.5 Non-functional Requirements 3.6 Planning for Information Security and System Security 3.7 Privacy 3.7 Legacy data 3.8 Summary of Security requirements 3.9 Identification of security requirements is initiated in the Inception Stage SummaryChapter 4. ElaborationThe goal of Elaboration is to create an overall process model that will serve as a Functional Requirements Specification (FRS), the second step in preserving conceptual integrity. The FRS forms the basis of level of effort and cost estimation.Outlines the role of the system architecture and the system backbone. Introduces the Configuration Management Database (CMDB) and the Traceability Matrix.4.1 The goal of the Elaboration Stage4.2 Objectives 4.3 Activities during Elaboration4.4 Ongoing Activities4.5 Implement Quality Engineering Plan4.6 Additional responsibilities:4.7 Data Flow Diagrams (DFD)4.8 Functional Requirements Specification (FRS)4.9 Design Review4.10 Following design approval4.11 Determine staffing, roles and responsibilities. 4.12 Rules of the Road (staffing)4.13 Design, develop and document the system architecture 4.14 Demonstrate an operating backbone4.15 Application Design Requirements4.16 Introduction to Configuration Management Data Base (CMDB)4.17 The CMDB includes tools4.18 The Traceability Matrix4.19 On Joint Application Development (JAD)4.20 On Workshops (in general)Chapter 5 ConstructionDescribes activities in the Process Detail and Unit Development Cycles. Introduces the practice of iterative development. Includes measures to assure the quality of the code as developed. Technical review subcycle. The triad principle.5.1 Process Detail Cycle5.1.1 Approach5.1.2 Phases5.1.3 Roles and responsibilities5.1.4 Business Rules Definition5.1.5 Form of Business Rules5.1.6 Business rule review5.1.7 Summation 5.2 Unit Development Cycle 5.2.1 Overview 5.2.2 Changing requirements 5.2.3 Processing Change Reports (CRpt) 5.2.4 Configuration Management 5.2.5 Advancement 5.2.6 Unit development5.3 “Mechanical” tests 5.4 Test plans5.5 Iterative development5.6 Code check5.7 Technical review sub-cycle5.8 Refactoring, Test driven development (TDD)5.9 True to requirements5.10 User review 5.11 Regarding tools 5.12 Automated testing 5.13 Power of three 5.14 Staffing 5.15 SummationChapter 6. Assembly“Service” assembly and system assembly. Continuous Integration and Continuous Delivery. Role of the agile DBA. Role of automation.6.1 Definitions 6.2 Service Assembly6.3 Continuous Integration and Continuous Deployment 6.4 When to use Automation tools6.5 Automation is suited to following types6.6 Roles and Responsibilities6.7 Systems of Record (SOR) and Systems of Engagement (SOE) 6.8 Test Data Management 6.9 The Agile DBA6.10 DevOps and the Database6.11 StaffingChapter 7. EvolutionSupport defined. Bureaucratic impediments. Types of support. Limited understanding. Lehman’s Laws. Software Support Lifecycle (SMLC). Tribal knowledge.7.1 Support Defined7.2 Processes, activities, and practices that are applicable to software Support:7.3 About software Support7.4 Support Personnel 7.5 Error Correction7.6 Bureaucratic Impediments 7.7 On the difficulty of correcting an error during Support:7.8 Types of Support7.9 Another View7.10 Software Support Effort7.11 Limited Understanding7.12 Technical Problems 7.13 Forces for evolution7.14 Lehman’s Laws 7.15 Model of the Software Support Lifecycle (SMLC) 7.16 The importance of ‘Tribal Knowledge’Chapter 8. Risk ManagementA personal accounting of risks encountered in 35 years of software development. “Man month” is a unit of cost, not progress. 8.1 General Mayhem 8.2 Loss of Key Personnel - Missing a window of opportunity 8.3 Software Development always has a political dimension 8.4. Unrealistic Expectations. 8.5 Lack of a competent Project “Champion.” 8.6 Missing Man 8.7 Keep documentation up to date. 8.8 Missing Tools - Loss of “Tribal Knowledge.” 8.9 Missing Overview. 8.10 Lack of Quality Engineering measures 8.11 Lack of proper tools. 8.12 Over optimistic level of effort 8.13 “Man Month” is a unit of cost, not progress. 8.14 No tool alone will “fix” gaps in the business model 8.15 Learning what a tool does NOT do 8.16 Lack of appropriate skills8.17 “Round Up the Usual Suspects!” 8.18 Necessary elementsChapter 9. Engineering Software QualitySoftware quality defined. Sofwware quality assurance (SQA) Configuration management. Test - continuous testing. Test driven development (TDD). The sum and intent of Software Quality Engineering.Software Quality defined9.1 Software Quality Assurance (SQA) 9.1.1 Ongoing Documentation 9.1.2 Data Flow Diagram (DFD)9.2 Configuration Management (CM) 9.2.1 Identification of Configuration Items 9.2.2 CMDB 9.2.3 Change Reports (CRpt) and Discrepancy Reports (DR) 9.2.4 The Hardware Configuration Inventory (HWCI) 9.2.5 Change Control 9.2.6 Status Accounting 9.3 Test 9.3.1 Test Driven Development (TDD) 9.3.2 Perform Test 9.3.3 Audits9.4 Data Related Quality Engineering 9.4.1 Conversion Plan9.5 Software Quality Engineering for Programming 9.6 The Sum and Intent of Software Quality EngineeringChapter 10. Final Remarks tbdAppendix 1. Attributes of Quality: International Organization for Standardization (ISO)Appendix 2. Summary of Standards, Guidelines and ProceduresAppendix 3. Data Flow Diagramming: Symbols and Rules, An example Resources

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Book SynopsisSolution architecture is a relatively new specialism but is at the very heart of the relationship between business and IT. This book is an authoritative and practical introduction, suitable for new entrants to the field but also of benefit to experienced professionals wishing to consolidate their knowledge and skills. The tools and techniques of solution architecture are presented in the context of a framework and life cycle, taking a problem or idea through logical steps to design a holistic and evidence-based solution. There is a focus on collaboration with the business as well as other disciplines such as enterprise architecture, business analysis and cyber security.Trade ReviewThis book is an enjoyable and refreshing read, offering readers a comprehensive and contextual introduction to the discipline of solution architecture. As organisations are reimagining traditional business models, adopting agile ways of working and accelerating digital transformation agendas, this book highlights the importance of communication and collaboration throughout a solution architecture lifecycle including the voice of the customer and ongoing stakeholder interactions. This book provides a complementary framework for solution architecture that refreshingly re-enforces that ‘…unlike a strict methodology where activities are mandated, a framework is meant to be a guide, not a driver or constraint.' -- Chris Banks MBCS CITP, Director, Workplace Fusion LtdThis book provides a good overview of Solution Architecture Process and its alignment with Enterprise Architecture, -- Sachin Bansal, Enterprise / Lead Solution Architect, IBM Services, UK * *Note - Opinions expressed here are purely personal in individual capacity and do not reflect any endorsement by IBM or any other current/former employers *I recommend this book for those who want to grow their careers in Solution Architecture and for those considering related career roles. Complementing knowledge in specific technologies, this book can enable readers to grow from techniques and ways of thinking that can be applied for varying projects, delivery environments, and stakeholders. With a highly accessible style it will appeal to people with a range of backgrounds or career experiences. -- Mike Broomhead FBCS CITPAt last, a comprehensive study of a complex and often misunderstood subject. In addition to clarifying many aspects of Solution Architecture, the author has added personal insights based on his many years of experience. I particularly liked the sections where Solution Architecture is put into context with Business Architecture and other enterprise wide strategic domains. An excellent and enlightening book for all those interested in the topic of Solution Architecture. -- Paul Turner FBCS, BCS Author and Examiner'The book provides a good, clear, readable introduction to Solution Architecture. The topics are logically presented so that there is progressive style with concepts being illustrated through use of examples drawn from a realistic case study. There are also a good number of activities that the reader can work through. Reference is made to standards and methodologies without becoming fixated on them. It was very enjoyable and easy to read.' -- Dr Quentin Vaughan, Managing Client Partner, IBM Global Business ServicesTable of Contents Introduction to Solution Architecture Solution Architecture in the Context of Business and Enterprise Architecture A Framework for Solution Architecture Inputs to Solution Architecture Gap Analysis Stakeholder Interaction Solution Technology Definition Implementation

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Book SynopsisModern business relies heavily on information technology. This book presents a new “always-on” business model for the digital age, one based on three interrelated components: a business model, an IT capability model, and an always-on information system model. In addition, it develops an implementation framework for the new model by identifying business-critical continuous computing information technologies as implementation drivers.The model proposed in this book reveals the critical role of business continuity management in ensuring business continuity even when operations are unaffected by any disasters. Using empirical survey data, PLS-SEM (Partial Least Squares - Structural Equation Modeling) combined with mediation analysis are used to test the model and hypotheses.The book is chiefly intended for students in Business Administration/Management degree programs and business leaders whose work involves addressing issues such as organizational performance, IT capability, enterprise information systems, IT management, business continuity management, disaster recovery management, risk management, IT auditing, and compliance. Table of ContentsChapter 1. Introduction.- Chapter 2. Digital Age, Business Strategy, and Firm's Performance.- Chapter 3. Downtime and Business Continuity.- Chapter 4. BCM, DRP - Compliance in Practice.- Chapter 5. Master Contingency Plans and IT Auditing.- Chapter 6. Business Models and The Concept of Always-On Business.- Chapter 7. BCM, BCP, IT Capability: A Framework for Always-On Business.- Chapter 8. Empirical Research.

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Book SynopsisThe COVID-19 pandemic accelerated the adoption of new forms of working and new working arrangements largely enabled by technology. The Future of Work is a projection of how work, working, workers and the workplace will evolve in the years ahead from the perspective of different actors in society, influenced by technological, socio-economic, political, and demographic changes.This open access book is a timely exploration of some of the challenges and prospects for the future of work from two main perspectives: how work is changing and how to prepare for work in the future. An evidence-based assessment of these topics offers some critical perspectives that challenge old assumptions and opens up emerging trends and possibilities for work in the future. As part of the Palgrave Studies in Digital Business & Enabling Technologies series, this book is an essential resource for academics of Business, Human Resource Management, Organisational Psychology and Industrial Relations, as well as practitioners and policy makers.Table of ContentsChapter 1 – The Future of Work for Organisations, Jobs and Workers (Introduction) This chapter summarises many of the main challenges and prospects for the future of work. It establishes and summarises the themes to be addressed in the remainder of the book. Prof Edel Conway, Dr Lisa van der Werff (Dublin City University) Part One: The Challenges and Prospects for the Future of Work and Jobs Chapter 2 – Disrupted or Enhanced? The impact of new ways of working on individual and organizational well-being The COVID-19 pandemic has represented a catalyst for new ways of working. This has opened a wide range opportunities such as remote, hybrid, co-working, flexible working and work from anywhere (WFA) approaches. This chapter will consider the range of opportunities and challenges for both workers and organisations in terms of well-being and performance that are created by these new ways of working. Prof Kathy Monks, Prof Yseult Freeney and Prof Edel Conway (Dublin City University) Chapter 3 – Theorizing the Future of Work in Professional Services: An Institutional Perspective This chapter will use a theoretical lens framed in institutional theory to better understand the challenges facing professional services, specifically accounting, law and architecture from digital technologies and specifically machine learning and artificial intelligence. This theoretical exploration will provide a basis for re-imagining the future of work in these professions in the context of digital trends. Dr Brid Murphy and Dr Orla Feeney (Dublin City University) Chapter 4 – Algorithms, Apps & Uncertainty: Navigating Work in the Gig Economy Although some critics consider gig working as simply the latest development in non-standard labour arrangements, its most novel and distinguishing feature, ‘algorithmic management’, disrupts and challenges the most enduring contours of work and people management. This chapter traces the role of digitalisation in creating the gig economy by exploring how algorithmic technologies have replaced human managers in this novel, yet heavily fragmented working arrangement. Dr James Duggan and Dr Stefan Jooss (University College Cork) Chapter 5 – Trust juggling effects of datafication of work: Where are we at and where do we go? Datafication of work fundamentally changes the processes underlying workplace relationships. Our chapter takes perspective of both the technology and human on how datafication helps and hinders trust and collaboration in the workplace. Dr Xuchang Zheng (Dublin City University), Dr Simon Schafheitle (University of St Gallen) Lisa van der Werff (Dublin City University), Part Two: Looking to the Future Chapter 6 – Leadership in digital workplaces This chapter will provide an overview of research (its intellectual structure/past and current trends using bibliometrics) at the intersection of leadership and future of work. It will propose an integrative framework and future outlooks for research and practice. Prof Matej Černe, Amadeja Lamovšek (University of Ljubliana), Prof Irina Nikolova, Prof Sut I Wong (BI Norwegian Business School) Chapter 7 – Diversity and Inclusion in the future of work This chapter will present an overview of extant knowledge about diversity and inclusion at work, with a specific focus on age, gender and race. The chapter will discuss these issues by first explicating how demographic, economic, social, and technological projections will impact the workplace and, second, by examining what specific interventions may promote real change, beyond the rhetoric, toward a more diverse and inclusive future of work. Dr Jean McCarthy (University of Limerick), Prof Janine Bosak (Dublin City University), Prof Emma Parry (Cranfield University) and Prof Jeanette Cleveland (Colorado State University) Chapter 8 – Education and skills for the future of work The chapter will explore a macro-level emphasis on skills required for the future of work as detailed by global policy reports. Specifically, it will explore how these both impact on, and can be fostered/co-created, through education. Our focus is purposefully on skills for the future (not of the future) and on futures (plural). A key underpinning to our argument is the need for a narrative that moves away from an economic focus on skill development to a broader holistic view of human centered development. This is also reflected in the increase realization by organizations that human capital development (HCD) in FoW is linked to positive societal impacts. Dr Shirley Davey (Ulster University), Prof Brian Harney (Dublin City University) Chapter 9 - Learning and Development This chapter draws on the principles of congruence and adaptation in open systems theory to discuss the future of organizational learning and development and argue where the emphasis should be placed. We argue that the emphasis needs to be on learning and development processes at the individual level which are more learner-driven, informal, continuous and social; a focus on knowledge pull as opposed to knowledge push. In tandem at the organizational level this emphasis needs to position the learning and development function as focusing on processes to enable an environment for learner-driven learning and to focus on why and where and how learning enables a fluid business strategy as opposed to driving learning for learning sake. Prof Claire Gubbins (Dublin City University), Prof Thomas Garavan (University College Cork) Chapter 10 – Ethics in the Future of Work A general misunderstanding regarding the essence of the ethical analysis lead to a misconception of ethics as a set of principles that need to be integrated in the way machines are designed. This chapter reviews existing literature on the topic, highlighting the shortcomings of unclear definitions of ethics, and suggests a framework to analyze the emerging areas of research in the future of work in light of a holistic approach to ethics. Dr Marta Rocci (Dublin City University) and Dr Caleb M. Bernacchio, California State University Monterey Bay Chapter 11 – Outlook for Work in the Future Conclusion: This chapter provides a summary of some of the main issues raised, key learning points, and further avenues for research. Prof Theo Lynn and Dr Pierangelo Rosati (Dublin City University)

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Book SynopsisPlan, create, and deliver amazing presentations! Alexei Kapterev's online presentation on presentations has seen more than one million views, all with no advertising or promotion.Trade ReviewA very likable book. It s lavishly illustrated with colour images explaining the art of giving speeches and presentations. (The Speech Writers Guild, January 2012)Table of ContentsRead This First xiii Chapter 1 3 What Is Presentation? 1 What Are Presentations? 2 Story 4 Slides 7 Delivery 13 The Three Principles of Presenting 14 Summary 22 Part I 3 Story 23 Chapter 2 3 The Story’s Focus 25 Not All Stories Are Created Equal 26 Focusing on One Idea 26 Setting the Goal 27 The Customer Isn’t Always Right 35 Gathering the Material 39 Inventing the Truth 47 Can You Sell Without Lying? 47 Summary 48 Chapter 3 3 The Story’s Contrast 51 Problems and Solutions 52 Hero and Villain 63 Summary 73 Chapter 4 3 The Story’s Unity 75 Making Your Story Unified 76 Case Study: The Story of Tomato Sauce 80 The Problem of Balance 82 Case Study: A Company Introduction 99 Summary 101 Part I I 3 Slides 103 Chapter 5 3 The Slides’ Focus 105 Producing Your Slides 106 Zen and Vajrayana 107 Designing Zen Slides 113 Summary 131 Chapter 6 3 The Slides’ Contrast 133 Energizing Lifeless Diagrams 134 Using Comparisons 136 Data Visualization 144 Lies, Damned Lies, and Statistics 155 A Word on Animation 159 Where to Go Next?—Visualization Resources 161 Summary 162 Chapter 7 3 The Slides’ Unity 163 Avoiding Ugly Slides 164 Slide Design for Non-Designers 165 Working with Pictures 188 United World in a Slide Deck 191 Summary 195 Part I I I 3 Delivery 197 Chapter 8 3 Focus in Delivery 199 What Should You Focus on During Delivery? 200 Clarity 202 Pace 205 Voice 207 Engaging with Your Audience 208 Making Eye Contact 212 Addressing Any Questions 218 Using Humor (or Not?) 218 Summary 220 Chapter 9 3 Contrast in Delivery 221 The Opposite of Monotony 222 Being Perfect Versus Being Passionate 223 Don’t Avoid Confrontation 226 Learning from Other People 232 Summary 241 Chapter 10 3 Unity in Delivery 243 Going with the Flow 244 The Pros and Cons of Improvisation 247 Relaxing Control 251 Summary 263 Chapter 11 3 Where to Go Next 265 Presentation Checklist 266 Taking Further Steps 269 General Presentation Resources 269 Storytelling Resources 270 Slide Resources 273 Delivery Resources 275 Presentations Transform 277 Index 279

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Book SynopsisMake your 3D world a reality Some of the dramatic visual effects you''ve seen in top-grossing movies and heralded television series got their start in Blender. This book helps you get your own start in creating three-dimensional characters, scenes, and animations in the popular free and open-source tool. Author Jason van Gumster shares his insight as an independent animator and digital artist to help Blender newcomers turn their ideas into three-dimensional drawings. From exporting and sharing scenes to becoming a part of the Blender community, this accessible book covers it all! Create 3D charactersno experience required Build scenes with texture and real lighting features Animate your creations and share them with the world Avoid common rookie mistakes This book is the ideal starting place for newcomers to the world of 3D modeling and animation. Table of ContentsIntroduction 1 About This Book 2 Foolish Assumptions 2 Icons Used in This Book 4 Beyond the Book 4 Where to Go from Here 5 Part 1: Wrapping Your Brain Around Blender 7 Chapter 1: Discovering Blender 9 Getting to Know Blender 10 Discovering Blender’s origins and the strength of the Blender community 11 Making open movies and games 12 Getting to Know the Interface 15 Working with an interface that stays out of your way 17 Resizing areas 19 Maximizing an area 20 The menu that is a pie 22 Chapter 2: Understanding How Blender Thinks 25 Looking at Editor Types 25 General editors 26 Animation editors 28 Scripting editors 29 Data editors 29 Understanding the Properties editor 30 Navigating in Three Dimensions 32 Orbiting, panning, and zooming the 3D Viewport 32 Changing views 35 Selecting objects 40 Taking advantage of the 3D cursor 40 Extra Features in the 3D Viewport 44 Quad View 44 Regions 45 Collaborating (with others and yourself) with annotations 48 Don’t know how to do something? Hooray for fully Integrated search! 49 Customizing Blender to Fit You 50 Using preset workspaces 51 Blender workflows 55 Setting user preferences 57 Using custom event maps 58 Speeding up your workflow with Quick Favorites 61 Chapter 3: Getting Your Hands Dirty Working in Blender 63 Grabbing, Scaling, and Rotating 64 Differentiating Between Coordinate Systems 64 Transforming an Object by Using Object Gizmos 67 Activating object gizmos 68 Using object gizmos 69 Saving Time by Using Hotkeys 72 Transforming with hotkeys 73 Hotkeys and coordinate systems 73 Numerical input 76 The Sidebar 76 Chapter 4: Working in Edit Mode and Object Mode 77 Making Changes by Using Edit Mode 77 Switching between Object mode and Edit mode 78 Selecting vertices, edges, and faces 79 Working with linked vertices 84 Still Blender’s No 1 modeling tool: Extrude 85 Adding to a Scene 90 Adding objects 90 Meet Suzanne, the Blender monke 92 Joining and separating objects 93 Creating duplicates and links 95 Discovering parents, children, and collections 101 Saving, opening, and appending 108 Part 2: Creating Detailed 3D Scenes 111 Chapter 5: Creating Anything You Can Imagine with Meshes 113 Pushing Vertices 114 Getting familiar with Edit mode tools 116 Adding geometry by insetting 117 Cutting edges with the Knife 122 Rounding your corners by beveling 126 Spiraling new geometry into existence with the Spin tool 130 Working with Loops and Rings 131 Understanding edge loops and face loops 132 Selecting edge rings 134 Creating new loops 135 Simplifying Your Life as a Modeler with Modifiers 137 Understanding modifier types 140 Doing half the work (and still looking good!) with the Mirror modifier 147 Smoothing things out with the Subdivision Surface modifier 149 Using the power of Arrays 153 Chapter 6: Sculpting in Virtual Space 157 Adding Background Images in the 3D Viewport 158 Mastering the types of image objects 159 Changing image object properties 160 Adjusting your image objects 162 Setting Up Your Sculpting Workspace 163 Sculpting a Mesh Object 166 Understanding sculpt tool types 166 Tweaking brush properties 173 Refining control of your tools 174 Creating custom brushes 176 Using Blender’s texture system to tweak brushes 176 Sculpting with the Multiresolution modifier 177 Freeform Sculpting with Dynamic Topology (Dyntopo) 180 Understanding the Basics of Retopology 184 Chapter 7: Using Blender’s Non-Mesh Primitives 189 Using Curves and Surfaces 190 Understanding the different types of curves 192 Working with curves 193 Understanding the strengths and limitations of Blender’s Surfaces 212 Using Metaball Objects 213 Meta-wha? 214 What metaball objects are useful for 217 Adding Text 217 Adding and editing text 218 Controlling text appearance 219 Deforming text with a curve 227 Converting to curves and meshes 228 Chapter 8: Changing That Boring Gray Default Material 229 Understanding Materials and Render Engines 230 Quick ’n’ Dirty Coloring 233 Setting diffuse colors 233 Assigning multiple materials to different parts of a mesh 235 Using vertex colors 240 Setting Up Node Materials 247 Adjusting your workspace to work with materials 248 Working with nodes 249 Understanding shaders 250 Playing with Materials in Blender 251 Demystifying the Principled BSDF 252 Combining shaders with the Mix Shader node 258 Playing with the Shader to RGB node 263 Chapter 9: Giving Models Texture 267 Adding Textures 267 Using Procedural Textures 268 Understanding Texture Mapping 272 Making simple adjustments with the Texture Mapping panel 272 Using texture coordinates 273 Understanding Object coordinates and the UV Project modifier 278 Unwrapping a Mesh 281 Marking seams on a mesh 282 Adding a test grid 283 Generating and editing UV coordinates 284 Painting Textures Directly on a Mesh 287 Preparing to paint 288 Working in Texture Paint mode 290 Using textures on your Draw tool 292 Saving Painted Textures and Exporting UV Layouts 295 Chapter 10: Lighting and Environment 297 Lighting a Scene 297 Understanding a basic three-point lighting setup 298 Knowing when to use which type of light 301 Lighting for Speedy Renders 317 Working with three-point lighting in Blender 318 Using Look Dev to set up lighting 318 Setting Up the World 320 Changing the sky to something other than dull gray 320 Understanding ambient occlusion 325 Working with Light Probes in Eevee 328 Baking from your light probes 330 Understanding the limitations of light probes 332 Part 3: Get Animated! 333 Chapter 11: Animating Objects 335 Working with Animation Curves 336 Customizing your screen layout for Animation 338 Inserting keys 340 Working with keying sets 345 Working in the Graph Editor 351 Editing motion curves 352 Using Constraints Effectively 356 The all-powerful Empty! 357 Adjusting the influence of a constraint 360 Using vertex groups in constraints 361 Copying the movement of another object 361 Putting limits on an object 363 Tracking the motion of another object 365 Chapter 12: Rigging: The Art of Building an Animatable Puppet 367 Creating Shape Keys 368 Creating new shapes 368 Mixing shapes 370 Knowing where shape keys are helpful 372 Adding Hooks 373 Creating new hooks 373 Knowing where hooks are helpful 375 Using Armatures: Skeletons in the Mesh 375 Editing armatures 376 Putting skin on your skeleton 390 Bringing It All Together to Rig a Character 396 Building Stickman’s centerline 396 Adding Stickman’s appendages 397 Taking advantage of parenting and constraints 400 Comparing inverse kinematics and forward kinematics 403 Making the rig more user friendly 407 Chapter 13: Animating Object Deformations 411 Working with the Dope Sheet 411 Selecting keys in the Dope Sheet 412 Working with markers 415 Recognizing different kinds of keyframe indicators 416 Animating with Armatures 418 Principles of animation worth remembering 420 Making sense of quaternions (or, “Why are there four rotation curves?!”) 423 Copying mirrored poses 424 Doing Nonlinear Animation 425 Working with actions 426 Mixing actions to create complex animation 429 Taking advantage of looped animation 430 Chapter 14: Letting Blender Do the Work for You 433 Using Particles in Blender 435 Knowing what particle systems are good for 436 Using force fields and collisions 440 Using particles for hair and fur 442 Giving Objects Some Jiggle and Bounce 446 Dropping Objects in a Scene with Rigid Body Dynamics 449 Simulating Cloth 450 Splashing Fluids in Your Scene 452 Smoking without Hurting Your Lungs: Smoke Simulation in Blender 457 Creating a smoke simulation 457 Rendering smoke 458 Chapter 15: Making 2D and 2.5D Animation with Grease Pencil 461 Getting Started with the 2D Animation Workspace 462 Working with Grease Pencil tools 464 Drawing with Grease Pencil 465 Sculpting Grease Pencil objects 470 Editing Grease Pencil objects 472 Understanding Grease Pencil Materials 473 Mastering Grease Pencil Layers 478 Automating Your Drawings with Grease Pencil Modifiers 482 Animating with Grease Pencil 488 Using a hand-drawn animation workflow with Grease Pencil objects 488 Rigging Grease Pencil objects for animation 492 Integrating Grease Pencil with a 3D Scene 495 Part 4: Sharing Your Work with the World 497 Chapter 16: Exporting and Rendering Scenes 499 Exporting to External Formats 499 Rendering a Scene 502 Creating a still image 502 Creating a sequence of still images for editing or compositing 509 Chapter 17: Editing Video and Animation 513 Comparing Editing to Compositing 514 Working with the Video Sequencer 514 Adding and editing strips 518 Adding effects and transitions 525 Rendering from the Video Sequencer 527 Chapter 18: Compositing Images and Video 531 Understanding Nodes 531 Getting Started with the Compositor 534 Rendering in Passes and Layers 535 Discovering Passes Available in Eevee and Cycles 536 Understanding Cycles-only Light Passes 540 Meet Cryptomatte 542 Working with Nodes 544 Configuring the backdrop 545 Identifying Parts of a Node 547 Navigating the Compositor 548 Adding nodes to your compositing network 549 Grouping nodes together 550 Discovering the Nodes Available to You 550 Rendering from the Compositor 552 Chapter 19: Mixing Video and 3D with Motion Tracking 553 Making Your Life Easier by Starting with Good Video 554 Knowing your camera 554 Keeping your lighting consistent 556 Having images in good focus 557 Understanding the scene 558 Getting Familiar with the Motion Tracking Workspace 559 Tracking Movement in Blender 561 Adding markers and tracking 563 Solving camera motion from tracker data 569 Setting up your scene for integrating with your video footage 573 Where to Go from Here 575 Part 5: the Part of Tens 577 Chapter 20: Ten Tips for Working More Effectively in Blender 579 Use Tooltips and Integrated Search 579 Take Advantage of the Quick Favorites Menu 580 Look at Models from Different Views 580 Don’t Forget about Add-ons 582 Lock a Camera to an Animated Character 582 Name Everything 583 Do Low-Resolution Test Renders 583 Use Annotations to Plan 586 Ask for Help 586 Have Fun, but Take Breaks 587 Chapter 21: Ten Excellent Community Resources 589 Blender org 589 Blender ID 590 Blender manual 590 Developer blog 590 Bug reporting and developer discussions 590 builder blender org 591 Blender Cloud 592 BlenderArtists org 592 BlenderNation 592 BlenderBasics com 593 Blender Stackexchange com 593 CGCookie com 593 Blend Swap (blendswap com) 593 Blender community 594 Blender Today 594 Right-Click Select 594 Blender NPR 595 Social Media 595 Blender chat 596 Index 597

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Book SynopsisPrivacyEngineering is a hands-on guide to building a modern and flexible privacy program for your organization. It helps map essential legal requirements into practical engineering techniques that you can implement right away. The book develops your strategic understanding of data governance and helps you navigate the tricky trade-offs between privacy and business needs. You'll learn to spot risks in your own data management systems and prepare to satisfy both internal and external privacy audits. There's no bureaucratic new processes or expensive new software necessary. You'll learn how to repurpose the data and security tools you already use to achieve your privacy goals. Preserving the privacy of your users is essential for any successful business. Well-designed processes and data governance ensure that privacy is built into your systems from the ground up, keeping your users safe and helping your organization maintain compliance with the law. Trade Review“A great high-level resource on privacy as it relates to the data collected by business software systems.” Joe Ivans “Provides a clear and thorough explanation of the how and the why of data privacy pitched at a level which isn't too technical, yet has a sufficient level of detail to allow for interpretation of implementation.” Matthew Todd “Really interesting subject matter. The author provides relevant examples and obviously has a lot of direct experience.” John Tyler “A great resource on approaching data privacy.” Doniyor Ulmasov “The best parts are the personal elements added to the narrative. I also enjoyed the case studies that help to illustrate the examples provided throughout.” Ayana Miller

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Book SynopsisIf you're planning, building, or implementing a cloud strategy that supports digitalization for your financial services business, this invaluable guide clearly sets out the crucial factors and questions to consider first. With it, you'll learn how to avoid the costly and time-consuming pitfalls and disappointments of cloud adoption.

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Book SynopsisFind the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations.Table of ContentsIntroduction 1 About This Book 2 Foolish Assumptions 2 How This Book Is Organized 3 Part I: Getting Started with Big Data 3 Part II: Technology Foundations for Big Data 3 Part III: Big Data Management 3 Part IV: Analytics and Big Data 4 Part V: Big Data Implementation 4 Part VI: Big Data Solutions in the Real World 4 Part VII: The Part of Tens 4 Glossary 4 Icons Used in This Book 5 Where to Go from Here 5 Part I: Getting Started with Big Data 7 Chapter 1: Grasping the Fundamentals of Big Data 9 The Evolution of Data Management 10 Understanding the Waves of Managing Data 11 Wave 1: Creating manageable data structures 11 Wave 2: Web and content management 13 Wave 3: Managing big data 14 Defining Big Data 15 Building a Successful Big Data Management Architecture 16 Beginning with capture, organize, integrate, analyze, and act 16 Setting the architectural foundation 17 Performance matters 20 Traditional and advanced analytics 22 The Big Data Journey 23 Chapter 2: Examining Big Data Types 25 Defining Structured Data 26 Exploring sources of big structured data 26 Understanding the role of relational databases in big data 27 Defining Unstructured Data 29 Exploring sources of unstructured data 29 Understanding the role of a CMS in big data management 31 Looking at Real-Time and Non-Real-Time Requirements 32 Putting Big Data Together 33 Managing different data types 33 Integrating data types into a big data environment 34 Chapter 3: Old Meets New: Distributed Computing 37 A Brief History of Distributed Computing 37 Giving thanks to DARPA 38 The value of a consistent model 39 Understanding the Basics of Distributed Computing 40 Why we need distributed computing for big data 40 The changing economics of computing 40 The problem with latency 41 Demand meets solutions 41 Getting Performance Right 42 Part II: Technology Foundations for Big Data 45 Chapter 4: Digging into Big Data Technology Components 47 Exploring the Big Data Stack 48 Layer 0: Redundant Physical Infrastructure 49 Physical redundant networks 51 Managing hardware: Storage and servers 51 Infrastructure operations 51 Layer 1: Security Infrastructure 52 Interfaces and Feeds to and from Applications and the Internet 53 Layer 2: Operational Databases 54 Layer 3: Organizing Data Services and Tools 56 Layer 4: Analytical Data Warehouses 56 Big Data Analytics 58 Big Data Applications 58 Chapter 5: Virtualization and How It Supports Distributed Computing 61 Understanding the Basics of Virtualization 61 The importance of virtualization to big data 63 Server virtualization 64 Application virtualization 65 Network virtualization 66 Processor and memory virtualization 66 Data and storage virtualization 67 Managing Virtualization with the Hypervisor 68 Abstraction and Virtualization 69 Implementing Virtualization to Work with Big Data 69 Chapter 6: Examining the Cloud and Big Data 71 Defining the Cloud in the Context of Big Data 71 Understanding Cloud Deployment and Delivery Models 72 Cloud deployment models 73 Cloud delivery models 74 The Cloud as an Imperative for Big Data 75 Making Use of the Cloud for Big Data 77 Providers in the Big Data Cloud Market 78 Amazon’s Public Elastic Compute Cloud 78 Google big data services 79 Microsoft Azure 80 OpenStack 80 Where to be careful when using cloud services 81 Part III: Big Data Management 83 Chapter 7: Operational Databases 85 RDBMSs Are Important in a Big Data Environment 87 PostgreSQL relational database 87 Nonrelational Databases 88 Key-Value Pair Databases 89 Riak key-value database 90 Document Databases 91 MongoDB 92 CouchDB 93 Columnar Databases 94 HBase columnar database 94 Graph Databases 95 Neo4J graph database 96 Spatial Databases 97 PostGIS/OpenGEO Suite 98 Polyglot Persistence 99 Chapter 8: MapReduce Fundamentals 101 Tracing the Origins of MapReduce 101 Understanding the map Function 103 Adding the reduce Function 104 Putting map and reduce Together 105 Optimizing MapReduce Tasks 108 Hardware/network topology 108 Synchronization 108 File system 108 Chapter 9: Exploring the World of Hadoop 111 Explaining Hadoop 111 Understanding the Hadoop Distributed File System (HDFS) 112 NameNodes 113 Data nodes 114 Under the covers of HDFS 115 Hadoop MapReduce 116 Getting the data ready 117 Let the mapping begin 118 Reduce and combine 118 Chapter 10: The Hadoop Foundation and Ecosystem 121 Building a Big Data Foundation with the Hadoop Ecosystem 121 Managing Resources and Applications with Hadoop YARN 122 Storing Big Data with HBase 123 Mining Big Data with Hive 124 Interacting with the Hadoop Ecosystem 125 Pig and Pig Latin 125 Sqoop 126 Zookeeper 127 Chapter 11: Appliances and Big Data Warehouses 129 Integrating Big Data with the Traditional Data Warehouse 129 Optimizing the data warehouse 130 Differentiating big data structures from data warehouse data 130 Examining a hybrid process case study 131 Big Data Analysis and the Data Warehouse 133 The integration lynchpin 134 Rethinking extraction, transformation, and loading 134 Changing the Role of the Data Warehouse 135 Changing Deployment Models in the Big Data Era 136 The appliance model 136 The cloud model 137 Examining the Future of Data Warehouses 137 Part IV: Analytics and Big Data 139 Chapter 12: Defining Big Data Analytics 141 Using Big Data to Get Results 142 Basic analytics 142 Advanced analytics 143 Operationalized analytics 146 Monetizing analytics 146 Modifying Business Intelligence Products to Handle Big Data 147 Data 147 Analytical algorithms 148 Infrastructure support 148 Studying Big Data Analytics Examples 149 Orbitz 149 Nokia 150 NASA 150 Big Data Analytics Solutions 151 Chapter 13: Understanding Text Analytics and Big Data 153 Exploring Unstructured Data 154 Understanding Text Analytics 155 The difference between text analytics and search 156 Analysis and Extraction Techniques 157 Understanding the extracted information 159 Taxonomies 160 Putting Your Results Together with Structured Data 160 Putting Big Data to Use 161 Voice of the customer 161 Social media analytics 162 Text Analytics Tools for Big Data 164 Attensity 164 Clarabridge 165 IBM 165 OpenText 165 SAS 166 Chapter 14: Customized Approaches for Analysis of Big Data 167 Building New Models and Approaches to Support Big Data 168 Characteristics of big data analysis 168 Understanding Different Approaches to Big Data Analysis 170 Custom applications for big data analysis 171 Semi-custom applications for big data analysis 173 Characteristics of a Big Data Analysis Framework 174 Big to Small: A Big Data Paradox 177 Part V: Big Data Implementation 179 Chapter 15: Integrating Data Sources 181 Identifying the Data You Need 181 Exploratory stage 182 Codifying stage 184 Integration and incorporation stage 184 Understanding the Fundamentals of Big Data Integration 186 Defining Traditional ETL 187 Data transformation 188 Understanding ELT — Extract, Load, and Transform 189 Prioritizing Big Data Quality 189 Using Hadoop as ETL 191 Best Practices for Data Integration in a Big Data World 191 Chapter 16: Dealing with Real-Time Data Streams and Complex Event Processing 193 Explaining Streaming Data and Complex Event Processing 194 Using Streaming Data 194 Data streaming 195 The need for metadata in streams 196 Using Complex Event Processing 198 Differentiating CEP from Streams 199 Understanding the Impact of Streaming Data and CEP on Business 200 Chapter 17: Operationalizing Big Data 201 Making Big Data a Part of Your Operational Process 201 Integrating big data 202 Incorporating big data into the diagnosis of diseases 203 Understanding Big Data Workflows 205 Workload in context to the business problem 206 Ensuring the Validity, Veracity, and Volatility of Big Data 207 Data validity 207 Data volatility 208 Chapter 18: Applying Big Data within Your Organization 211 Figuring the Economics of Big Data 212 Identification of data types and sources 212 Business process modifications or new process creation 215 The technology impact of big data workflows 215 Finding the talent to support big data projects 216 Calculating the return on investment (ROI) from big data investments 216 Enterprise Data Management and Big Data 217 Defining Enterprise Data Management 217 Creating a Big Data Implementation Road Map 218 Understanding business urgency 218 Projecting the right amount of capacity 219 Selecting the right software development methodology 219 Balancing budgets and skill sets 219 Determining your appetite for risk 220 Starting Your Big Data Road Map 220 Chapter 19: Security and Governance for Big Data Environments 225 Security in Context with Big Data 225 Assessing the risk for the business 226 Risks lurking inside big data 226 Understanding Data Protection Options 227 The Data Governance Challenge 228 Auditing your big data process 230 Identifying the key stakeholders 231 Putting the Right Organizational Structure in Place 231 Preparing for stewardship and management of risk 232 Setting the right governance and quality policies 232 Developing a Well-Governed and Secure Big Data Environment 233 Part VI: Big Data Solutions in the Real World 235 Chapter 20: The Importance of Big Data to Business 237 Big Data as a Business Planning Tool 238 Stage 1: Planning with data 238 Stage 2: Doing the analysis 239 Stage 3: Checking the results 239 Stage 4: Acting on the plan 240 Adding New Dimensions to the Planning Cycle 240 Stage 5: Monitoring in real time 240 Stage 6: Adjusting the impact 241 Stage 7: Enabling experimentation 241 Keeping Data Analytics in Perspective 241 Getting Started with the Right Foundation 242 Getting your big data strategy started 242 Planning for Big Data 243 Transforming Business Processes with Big Data 244 Chapter 21: Analyzing Data in Motion: A Real-World View 245 Understanding Companies’ Needs for Data in Motion 246 The value of streaming data 247 Streaming Data with an Environmental Impact 247 Using sensors to provide real-time information about rivers and oceans 248 The benefits of real-time data 249 Streaming Data with a Public Policy Impact 249 Streaming Data in the Healthcare Industry 251 Capturing the data stream 251 Streaming Data in the Energy Industry 252 Using streaming data to increase energy efficiency 252 Using streaming data to advance the production of alternative sources of energy 252 Connecting Streaming Data to Historical and Other Real-Time Data Sources 253 Chapter 22: Improving Business Processes with Big Data Analytics: A Real-World View 255 Understanding Companies’ Needs for Big Data Analytics 256 Improving the Customer Experience with Text Analytics 256 The business value to the big data analytics implementation 257 Using Big Data Analytics to Determine Next Best Action 257 Preventing Fraud with Big Data Analytics 260 The Business Benefit of Integrating New Sources of Data 262 Part VII: The Part of Tens 263 Chapter 23: Ten Big Data Best Practices 265 Understand Your Goals 265 Establish a Road Map 266 Discover Your Data 266 Figure Out What Data You Don’t Have 267 Understand the Technology Options 267 Plan for Security in Context with Big Data 268 Plan a Data Governance Strategy 268 Plan for Data Stewardship 268 Continually Test Your Assumptions 269 Study Best Practices and Leverage Patterns 269 Chapter 24: Ten Great Big Data Resources 271 Hurwitz & Associates 271 Standards Organizations 271 The Open Data Foundation 272 The Cloud Security Alliance 272 National Institute of Standards and Technology 272 Apache Software Foundation 273 Oasis 273 Vendor Sites 273 Online Collaborative Sites 274 Big Data Conferences 274 Chapter 25: Ten Big Data Do’s and Don’ts 275 Do Involve All Business Units in Your Big Data Strategy 275 Do Evaluate All Delivery Models for Big Data 276 Do Think about Your Traditional Data Sources as Part of Your Big Data Strategy 276 Do Plan for Consistent Metadata 276 Do Distribute Your Data 277 Don’t Rely on a Single Approach to Big Data Analytics 277 Don’t Go Big Before You Are Ready 277 Don’t Overlook the Need to Integrate Data 277 Don’t Forget to Manage Data Securely 278 Don’t Overlook the Need to Manage the Performance of Your Data 278 Glossary 279 Index 295

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Book SynopsisAddresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to aTable of ContentsNotes on Contributors xi Introduction: Education At Computational Crossroads xxiiiSamira ElAtia, Donald Ipperciel, and Osmar R. Zaïane Part I At The Intersection of Two Fields: EDM 1 Chapter 1 Educational Process Mining: A Tutorial and Case Study Using Moodle Data Sets 3Cristóbal Romero, Rebeca Cerezo, Alejandro Bogarín, and Miguel Sanchez‐Santillán 1.1 Background 5 1.2 Data Description and Preparation 7 1.2.1 Preprocessing Log Data 7 1.2.2 Clustering Approach for Grouping Log Data 11 1.3 Working with ProM 16 1.3.1 Discovered Models 19 1.3.2 Analysis of the Models’ Performance 23 1.4 Conclusion 26 Acknowledgments 27 References 27 Chapter 2 On Big Data And Text Mining in the Humanities29Geoffrey Rockwell and Bettina Berendt 2.1 Busa and the Digital Text 30 2.2 Thesaurus Linguae Graecae and the Ibycus Computer as Infrastructure 32 2.2.1 Complete Data Sets 33 2.3 Cooking with Statistics 35 2.4 Conclusions 37 References 38 Chapter 3 Finding Predictors in Higher Education41David Eubanks, William Evers Jr., and Nancy Smith 3.1 Contrasting Traditional and Computational Methods 42 3.2 Predictors and Data Exploration 45 3.3 Data Mining Application: An Example 50 3.4 Conclusions 52 References 53 Chapter 4 Educational Data Mining: A MOOC Experience55Ryan S. Baker, Yuan Wang, Luc Paquette, Vincent Aleven, Octav Popescu, Jonathan Sewall, Carolyn Rosé, Gaurav Singh Tomar, Oliver Ferschke, Jing Zhang, Michael J. Cennamo, Stephanie Ogden, Therese Condit, José Diaz, Scott Crossley, Danielle S. McNamara, Denise K. Comer, Collin F. Lynch, Rebecca Brown, Tiffany Barnes, and Yoav Bergner 4.1 Big Data in Education: The Course 55 4.1.1 Iteration 1: Coursera 55 4.1.2 Iteration 2: edX 56 4.2 Cognitive Tutor Authoring Tools 57 4.3 Bazaar 58 4.4 Walkthrough 58 4.4.1 Course Content 58 4.4.2 Research on BDEMOOC 61 4.5 Conclusion 65 Acknowledgments 65 References 65 Chapter 5 Data Mining and Action Research 67Ellina Chernobilsky, Edith Ries, and Joanne Jasmine 5.1 Process 69 5.2 Design Methodology 71 5.3 Analysis and Interpretation of Data 72 5.3.1 Quantitative Data Analysis and Interpretation 73 5.3.2 Qualitative Data Analysis and Interpretation 74 5.4 Challenges 75 5.5 Ethics 76 5.6 Role of Administration in the Data Collection Process 76 5.7 Conclusion 77 References 77 Part II Pedagogical Applications of EDM79 Chapter 6 Design of an Adaptive Learning System and Educational Data Mining81Zhiyong Liu and Nick Cercone 6.1 Dimensionalities of the User Model in ALS 83 6.2 Collecting Data for ALS 85 6.3 Data Mining in ALS 86 6.3.1 Data Mining for User Modeling 87 6.3.2 Data Mining for Knowledge Discovery 88 6.4 ALS Model and Function Analyzing 90 6.4.1 Introduction of Module Functions 90 6.4.2 Analyzing the Workflow 93 6.5 Future Works 94 6.6 Conclusions 94 Acknowledgment 95 References 95 Chapter 7 The “Geometry” of Naive Bayes: Teaching Probabilities by “Drawing” Them99Giorgio Maria Di Nunzio 7.1 Introduction 99 7.1.1 Main Contribution 100 7.1.2 Related Works 101 7.2 The Geometry of NB Classification 102 7.2.1 Mathematical Notation 102 7.2.2 Bayesian Decision Theory 103 7.3 Two-Dimensional Probabilities 105 7.3.1 Working with Likelihoods and Priors Only 107 7.3.2 De‐normalizing Probabilities 108 7.3.3 NB Approach 109 7.3.4 Bernoulli Naïve Bayes 110 7.4 A New Decision Line: Far from the Origin 111 7.4.1 De‐normalization Makes (Some) Problems Linearly Separable 112 7.5 Likelihood Spaces, When Logarithms make a Difference (or a SUM) 114 7.5.1 De‐normalization Makes (Some) Problems Linearly Separable 115 7.5.2 A New Decision in Likelihood Spaces 116 7.5.3 A Real Case Scenario: Text Categorization 117 7.6 Final Remarks 118 References 119 Chapter 8 Examining the Learning Networks of a MOOC121Meaghan Brugha and Jean‐Paul Restoule 8.1 Review of Literature 122 8.2 Course Context 124 8.3 Results and Discussion 125 8.4 Recommendations for Future Research 133 8.5 Conclusions 134 References 135 Chapter 9 Exploring the Usefulness of Adaptive ELearning Laboratory Environments in Teaching Medical Science139Thuan Thai and Patsie Polly 9.1 Introduction 139 9.2 Software for Learning and Teaching 141 9.2.1 Reflective Practice: ePortfolio 141 9.2.2 Online Quizzes 143 9.2.3 Online Practical Lessons 144 9.2.4 Virtual Laboratories 145 9.2.5 The Gene Suite 147 9.3 Potential Limitations 152 9.4 Conclusion 153 Acknowledgments 153 References 154 Chapter 10 Investigating Co‐Occurrence Patterns of Learners’ Grammatical Errors across Proficiency Levels and Essay Topics Based on Association Analysis 157Yutaka Ishii 10.1 Introduction 157 10.1.1 The Relationship between Data Mining and Educational Research 157 10.1.2 English Writing Instruction in the Japanese Context 158 10.2 Literature Review 159 10.3 Method 160 10.3.1 Konan‐JIEM Learner Corpus 160 10.3.2 Association Analysis 162 10.4 Experiment 1 162 10.5 Experiment 2 163 10.6 Discussion and Conclusion 164 Appendix A: Example of Learner’s Essay (University Life) 164 Appendix B: Support Values of all Topics 165 Appendix C: Support Values of Advanced, Intermediate, and Beginner Levels of Learners 168 References 169 Part III EDM and Educational Research 173 Chapter 11 Mining Learning Sequences in MOOCs: Does Course Design Constrain Students’ Behaviors Or Do Students Shape Their Own Learning? 175Lorenzo Vigentini, Simon McIntyre, Negin Mirriahi, and Dennis Alonzo 11.1 Introduction 175 11.1.1 Perceptions and Challenges of MOOC Design 176 11.1.2 What Do We Know About Participants’ Navigation: Choice and Control 177 11.2 Data Mining in MOOCs: Related Work 178 11.2.1 Setting the Hypotheses 179 11.3 The Design and Intent of the LTTO MOOC 180 11.3.1 Course Grading and Certification 183 11.3.2 Delivering the Course 183 11.3.3 Operationalize Engagement, Personal Success, and Course Success in LTTO 184 11.4 Data Analysis 184 11.4.1 Approaches to Process the Data Sources 185 11.4.2 LTTO in Numbers 186 11.4.3 Characterizing Patterns of Completion and Achievement 186 11.4.4 Redefining Participation and Engagement 189 11.5 Mining Behaviors and Intents 191 11.5.1 Participants’ Intent and Behaviors: A Classification Model 191 11.5.2 Natural Clustering Based on Behaviors 194 11.5.3 Stated Intents and Behaviors: Are They Related? 198 11.6 Closing the Loop: Informing Pedagogy and Course Enhancement 198 11.6.1 Conclusions, Lessons Learnt, and Future Directions 200 References 201 Chapter 12 Understanding Communication Patterns in MOOCs: Combining Data Mining and Qualitative Methods 207Rebecca Eynon, Isis Hjorth, Taha Yasseri, and Nabeel Gillani 12.1 Introduction 207 12.2 Methodological Approaches to Understanding Communication Patterns in MOOCs 209 12.3 Description 210 12.3.1 Structural Connections 211 12.4 Examining Dialogue 213 12.5 Interpretative Models 214 12.6 Understanding Experience 215 12.7 Experimentation 216 12.8 Future Research 217 References 218 Chapter 13 An Example of Data Mining: Exploring The Relationship Between Applicant Attributes and Academic Measures of Success in a Pharmacy Program 223Dion Brocks and Ken Cor 13.1 Introduction 223 13.2 Methods 225 13.3 Results 228 13.4 Discussion 230 13.4.1 Prerequisite Predictors 230 13.4.2 Demographic Predictors 232 13.5 Conclusion 234 Appendix A 234 References 236 Chapter 14 A New Way of Seeing: Using a Data Mining Approach to Understand Children’s Views of Diversity and “Difference” in Picture Books237Robin A. Moeller and Hsin‐liang Chen 14.1 Introduction 237 14.2 Study 1: Using Data Mining to Better Understand Perceptions of Race 238 14.2.1 Background 238 14.2.2 Research Questions 239 14.2.3 Methods 240 14.2.4 Findings 240 14.2.5 Discussion 248 14.3 Study 2: Translating Data Mining Results to Picture Book Concepts of “Difference” 248 14.3.1 Background 248 14.3.2 Research Questions 249 14.3.3 Methodology 250 14.3.4 Findings 250 14.3.5 Discussion and Implications 252 14.4 Conclusions 252 References 252 Chapter 15 Data Mining with Natural Language Processing and Corpus Linguistics: Unlocking Access to School Children’s Language in Diverse Contexts to Improve Instructional and Assessment Practices255Alison L. Bailey, Anne Blackstock‐Bernstein, Eve Ryan, and Despina Pitsoulakis 15.1 Introduction 255 15.2 Identifying the Problem 256 15.3 Use of Corpora and Technology in Language Instruction and Assessment 261 15.3.1 Language Corpora in ESL and EFL Teaching and Learning 261 15.3.2 Previous Extensions of Corpus Linguistics to School‐Age Language 262 15.3.3 Corpus Linguistics in Language Assessment 263 15.3.4 Big Data Purposes, Techniques, and Technology 264 15.4 Creating a School‐Age Learner Corpus and Digital Data Analytics System 266 15.4.1 Language Measures Included in DRGON 267 15.4.2 The DLLP as a Promising Practice 268 15.5 Next Steps, “Modest Data,” and Closing Remarks 269 Acknowledgments 271 Appendix A: Examples of Oral and Written Explanation Elicitation Prompts 272 References 272 Index 277

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Book SynopsisThe final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefacedTable of ContentsIntroduction xxv 1 The Reader at a Glance 1 Setting Up for Success 1 1.1 Resist the Urge to Start Coding 1 1.2 Set Your Boundaries 4 Tackling DW/BI Design and Development 6 1.3 Data Wrangling 6 1.4 Myth Busters 9 1.5 Dividing the World 10 1.6 Essential Steps for the Integrated Enterprise Data Warehouse 13 1.7 Drill Down to Ask Why 22 1.8 Slowly Changing Dimensions 25 1.9 Judge Your BI Tool through Your Dimensions 28 1.10 Fact Tables 31 1.11 Exploit Your Fact Tables 33 2 Before You Dive In 35 Before Data Warehousing 35 2.1 History Lesson on Ralph Kimball and Xerox PARC 36 Historical Perspective 37 2.2 The Database Market Splits 37 2.3 Bringing Up Supermarts 40 Dealing with Demanding Realities 47 2.4 Brave New Requirements for Data Warehousing 47 2.5 Coping with the Brave New Requirements 52 2.6 Stirring Things Up 57 2.7 Design Constraints and Unavoidable Realities 60 2.8 Two Powerful Ideas 64 2.9 Data Warehouse Dining Experience 67 2.10 Easier Approaches for Harder Problems 70 2.11 Expanding Boundaries of the Data Warehouse 72 3 Project/Program Planning 75 Professional Responsibilities 75 3.1 Professional Boundaries 75 3.2 An Engineer’s View 78 3.3 Beware the Objection Removers 82 3.4 What Does the Central Team Do? 86 3.5 Avoid Isolating DW and BI Teams 90 3.6 Better Business Skills for BI and Data Warehouse Professionals 91 3.7 Risky Project Resources are Risky Business 93 3.8 Implementation Analysis Paralysis 95 3.9 Contain DW/BI Scope Creep and Avoid Scope Theft 96 3.10 Are IT Procedures Beneficial to DW/BI Projects? 98 Justification and Sponsorship 100 3.11 Habits of Effective Sponsors 100 3.12 TCO Starts with the End User 103 Kimball Methodology 108 3.13 Kimball Lifecycle in a Nutshell 108 3.14 Off the Bench111 3.15 The Anti-Architect112 3.16 Think Critically When Applying Best Practices 115 3.17 Eight Guidelines for Low Risk Enterprise Data Warehousing 118 4 Requirements Definition 123 Gathering Requirements 123 4.1 Alan Alda’s Interviewing Tips for Uncovering Business Requirements 123 4.2 More Business Requirements Gathering Dos and Don’ts 127 4.3 Balancing Requirements and Realities 129 4.4 Overcoming Obstacles When Gathering Business Requirements 130 4.5 Surprising Value of Data Profiling 133 Organizing around Business Processes 134 4.6 Focus on Business Processes, Not Business Departments! 134 4.7 Identifying Business Processes 135 4.8 Business Process Decoder Ring 137 4.9 Relationship between Strategic Business Initiatives and Business Processes 138 Wrapping Up the Requirements 139 4.10 The Bottom-Up Misnomer 140 4.11 Think Dimensionally (Beyond Data Modeling) 144 4.12 Using the Dimensional Model to Validate Business Requirements 145 5 Data Architecture 147 Making the Case for Dimensional Modeling 147 5.1 Is ER Modeling Hazardous to DSS? 147 5.2 A Dimensional Modeling Manifesto 151 5.3 There are No Guarantees 159 Enterprise Data Warehouse Bus Architecture 163 5.4 Divide and Conquer 163 5.5 The Matrix 166 5.6 The Matrix: Revisited 170 5.7 Drill Down into a Detailed Bus Matrix 174 Agile Project Considerations 176 5.8 Relating to Agile Methodologies 176 5.9 Is Agile Enterprise Data Warehousing an Oxymoron? 177 5.10 Going Agile? Start with the Bus Matrix 179 5.11 Conformed Dimensions as the Foundation for Agile Data Warehousing 180 Integration Instead of Centralization 181 5.12 Integration for Real People 181 5.13 Build a Ready-to-Go Resource for Enterprise Dimensions 185 5.14 Data Stewardship 101: The First Step to Quality and Consistency 186 5.15 To Be or Not To Be Centralized 189 Contrast with the Corporate Information Factory 192 5.16 Differences of Opinion 193 5.17 Much Ado about Nothing 198 5.18 Don’t Support Business Intelligence with a Normalized EDW 199 5.19 Complementing 3NF EDWs with Dimensional Presentation Areas 201 6 Dimensional Modeling Fundamentals 203 Basics of Dimensional Modeling 203 6.1 Fact Tables and Dimension Tables 203 6.2 Drilling Down, Up, and Across 207 6.3 The Soul of the Data Warehouse, Part One: Drilling Down 210 6.4 The Soul of the Data Warehouse, Part Two: Drilling Across 213 6.5 The Soul of the Data Warehouse, Part Three: Handling Time 216 6.6 Graceful Modifications to Existing Fact and Dimension Tables 219 Dos and Don’ts 220 6.7 Kimball’s Ten Essential Rules of Dimensional Modeling 221 6.8 What Not to Do 223 Myths about Dimensional Modeling 226 6.9 Dangerous Preconceptions 226 6.10 Fables and Facts 228 7 Dimensional Modeling Tasks and Responsibilities 233 Design Activities 233 7.1 Letting the Users Sleep 233 7.2 Practical Steps for Designing a Dimensional Model 240 7.3 Staffing the Dimensional Modeling Team 243 7.4 Involve Business Representatives in Dimensional Modeling 244 7.5 Managing Large Dimensional Design Teams 246 7.6 Use a Design Charter to Keep Dimensional Modeling Activities on Track 248 7.7 The Naming Game 249 7.8 What’s in a Name? 250 7.9 When is the Dimensional Design Done? 253 Design Review Activities 254 7.10 Design Review Dos and Don’ts 255 7.11 Fistful of Flaws 257 7.12 Rating Your Dimensional Data Warehouse 260 8 Fact Table Core Concepts 267 Granularity 267 8.1 Declaring the Grain 267 8.2 Keep to the Grain in Dimensional Modeling 270 8.3 Warning: Summary Data May Be Hazardous to Your Health 272 8.4 No Detail Too Small 273 Types of Fact Tables 276 8.5 Fundamental Grains 277 8.6 Modeling a Pipeline with an Accumulating Snapshot 280 8.7 Combining Periodic and Accumulating Snapshots 282 8.8 Complementary Fact Table Types 284 8.9 Modeling Time Spans 286 8.10 A Rolling Prediction of the Future, Now and in the Past 289 8.11 Timespan Accumulating Snapshot Fact Tables 293 8.12 Is it a Dimension, a Fact, or Both? 294 8.13 Factless Fact Tables 295 8.14 Factless Fact Tables? Sounds Like Jumbo Shrimp? 298 8.15 What Didn’t Happen 299 8.16 Factless Fact Tables for Simplification 302 Parent-Child Fact Tables 304 8.17 Managing Your Parents 304 8.18 Patterns to Avoid When Modeling Header/Line Item Transactions 307 Fact Table Keys and Degenerate Dimensions 309 8.19 Fact Table Surrogate Keys 309 8.20 Reader Suggestions on Fact Table Surrogate Keys 310 8.21 Another Look at Degenerate Dimensions 312 8.22 Creating a Reference Dimension for Infrequently Accessed Degenerates 313 Miscellaneous Fact Table Design Patterns 314 8.23 Put Your Fact Tables on a Diet 314 8.24 Keeping Text Out of the Fact Table 316 8.25 Dealing with Nulls in a Dimensional Model 317 8.26 Modeling Data as Both a Fact and Dimension Attribute 318 8.27 When a Fact Table Can Be Used as a Dimension Table 319 8.28 Sparse Facts and Facts with Short Lifetimes 321 8.29 Pivoting the Fact Table with a Fact Dimension 323 8.30 Accumulating Snapshots for Complex Workflows 324 9 Dimension Table Core Concepts 327 Dimension Table Keys 327 9.1 Surrogate Keys 327 9.2 Keep Your Keys Simple 331 9.3 Durable “Super-Natural” Keys 333 Date and Time Dimension Considerations 334 9.4 It’s Time for Time 335 9.5 Surrogate Keys for the Time Dimension 337 9.6 Latest Thinking on Time Dimension Tables 339 9.7 Smart Date Keys to Partition Fact Tables 341 9.8 Updating the Date Dimension 342 9.9 Handling All the Dates 343 Miscellaneous Dimension Patterns 345 9.10 Selecting Default Values for Nulls 345 9.11 Data Warehouse Role Models 347 9.12 Mystery Dimensions 350 9.13 De-Clutter with Junk Dimensions 353 9.14 Showing the Correlation between Dimensions 354 9.15 Causal (Not Casual) Dimensions 356 9.16 Resist Abstract Generic Dimensions 359 9.17 Hot-Swappable Dimensions 360 9.18 Accurate Counting with a Dimensional Supplement 361 Slowly Changing Dimensions 363 9.19 Perfectly Partitioning History with Type 2 SCD 363 9.20 Many Alternate Realities 364 9.21 Monster Dimensions 367 9.22 When a Slowly Changing Dimension Speeds Up 370 9.23 When Do Dimensions Become Dangerous? 372 9.24 Slowly Changing Dimensions are Not Always as Easy as 1, 2, and 3 373 9.25 Slowly Changing Dimension Types 0, 4, 5, 6 and 7 378 9.26 Dimension Row Change Reason Attributes 382 10 More Dimension Patterns and Considerations 385 Snowflakes, Outriggers, and Bridges 385 10.1 Snowflakes, Outriggers, and Bridges 385 10.2 A Trio of Interesting Snowflakes 388 10.3 Help for Dimensional Modeling 392 10.4 Managing Bridge Tables 395 10.5 The Keyword Dimension 399 10.6 Potential Bridge (Table) Detours 403 10.7 Alternatives for Multi-Valued Dimensions 405 10.8 Adding a Mini-Dimension to a Bridge Table 407 Dealing with Hierarchies 409 10.9 Maintaining Dimension Hierarchies 409 10.10 Help for Hierarchies 414 10.11 Five Alternatives for Better Employee Dimensional Modeling 417 10.12 Avoiding Alternate Organization Hierarchies 425 10.13 Alternate Hierarchies 426 Customer Issues 427 10.14 Dimension Embellishments 427 10.15 Wrangling Behavior Tags 429 10.16 Three Ways to Capture Customer Satisfaction 431 10.17 Extreme Status Tracking for Real-Time Customer Analysis 435 Addresses and International Issues 439 10.18 Think Globally, Act Locally 439 10.19 Warehousing without Borders 443 10.20 Spatially Enabling Your Data Warehouse 448 10.21 Multinational Dimensional Data Warehouse Considerations 452 Industry Scenarios and Idiosyncrasies 453 10.22 Industry Standard Data Models Fall Short 453 10.23 An Insurance Data Warehouse Case Study 455 10.24 Traveling through Databases 460 10.25 Human Resources Dimensional Models 463 10.26 Managing Backlogs Dimensionally 467 10.27 Not So Fast 468 10.28 The Budgeting Chain 471 10.29 Compliance-Enabled Data Warehouses 475 10.30 Clicking with Your Customer 477 10.31 The Special Dimensions of the Clickstream 482 10.32 Fact Tables for Text Document Searching 485 10.33 Enabling Market Basket Analysis 489 11 Back Room ETL and Data Quality 495 Planning the ETL System 495 11.1 Surrounding the ETL Requirements 495 11.2 The 34 Subsystems of ETL 500 11.3 Six Key Decisions for ETL Architectures 504 11.4 Three ETL Compromises to Avoid 508 11.5 Doing the Work at Extract Time 510 11.6 Is Data Staging Relational? 513 11.7 Staging Areas and ETL Tools 517 11.8 Should You Use an ETL Tool? 518 11.9 Call to Action for ETL Tool Providers 521 11.10 Document the ETL System 522 11.11 Measure Twice, Cut Once 523 11.12 Brace for Incoming 527 11.13 Building a Change Data Capture System 530 11.14 Disruptive ETL Changes 531 11.15 New Directions for ETL 533 Data Quality Considerations 535 11.16 Dealing With Data Quality: Don’t Just Sit There, Do Something! 535 11.17 Data Warehouse Testing Recommendations 537 11.18 Dealing with Dirty Data 539 11.19 An Architecture for Data Quality 545 11.20 Indicators of Quality: The Audit Dimension 553 11.21 Adding an Audit Dimension to Track Lineage and Confi dence 556 11.22 Add Uncertainty to Your Fact Table 559 11.23 Have You Built Your Audit Dimension Yet? 560 11.24 Is Your Data Correct? 562 11.25 Eight Recommendations for International Data Quality 565 11.26 Using Regular Expressions for Data Cleaning 568 Populating Fact and Dimension Tables 572 11.27 Pipelining Your Surrogates 572 11.28 Unclogging the Fact Table Surrogate Key Pipeline 576 11.29 Replicating Dimensions Correctly 579 11.30 Identify Dimension Changes Using Cyclic Redundancy Checksums 580 11.31 Maintaining Back Pointers to Operational Sources 581 11.32 Creating Historical Dimension Rows 582 11.33 Facing the Re-Keying Crisis 585 11.34 Backward in Time 587 11.35 Early-Arriving Facts 590 11.36 Slowly Changing Entities 591 11.37 Using the SQL MERGE Statement for Slowly Changing Dimensions 593 11.38 Creating and Managing Shrunken Dimensions 595 11.39 Creating and Managing Mini-Dimensions 597 11.40 Creating, Using, and Maintaining Junk Dimensions 599 11.41 Building Bridges 601 11.42 Being Offl ine as Little as Possible 605 Supporting Real Time 606 11.43 Working in Web Time 606 11.44 Real-Time Partitions 610 11.45 The Real-Time Triage 613 12 Technical Architecture Considerations 617 Overall Technical/System Architecture 617 12.1 Can the Data Warehouse Benefi t from SOA? 617 12.2 Picking the Right Approach to MDM 619 12.3 Building Custom Tools for the DW/BI System 625 12.4 Welcoming the Packaged App 626 12.5 ERP Vendors: Bring Down Those Walls 629 12.6 Building a Foundation for Smart Applications 632 12.7 RFID Tags and Smart Dust 637 12.8 Is Big Data Compatible with the Data Warehouse? 640 12.9 The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics 641 12.10 Newly Emerging Best Practices for Big Data 659 12.11 The Hyper-Granular Active Archive 670 Presentation Server Architecture 672 12.12 Columnar Databases: Game Changers for DW/BI Deployment 672 12.13 There is no Database Magic 673 12.14 Relating to OLAP 676 12.15 Dimensional Relational versus OLAP: The Final Deployment Conundrum 679 12.16 Microsoft SQL Server Comes of Age for Data Warehousing 682 12.17 The Aggregate Navigator 686 12.18 Aggregate Navigation with (Almost) No Metadata 690 Front Room Architecture 697 12.19 The Second Revolution of User Interfaces 697 12.20 Designing the User Interface 700 Metadata 704 12.21 Meta Meta Data Data 704 12.22 Creating the Metadata Strategy 708 12.23 Leverage Process Metadata for Self-Monitoring DW Operations 709 Infrastructure and Security Considerations 712 12.24 Watching the Watchers 712 12.25 Catastrophic Failure 716 12.26 Digital Preservation 719 12.27 Creating the Advantages of a 64-Bit Server 722 12.28 Server Configuration Considerations 723 12.29 Adjust Your Thinking for SANs 726 13 Front Room Business Intelligence Applications 729 Delivering Value with Business Intelligence 729 13.1 The Promise of Decision Support 730 13.2 Beyond Paving the Cow Paths 733 13.3 BI Components for Business Value 736 13.4 Big Shifts Happening in BI 738 13.5 Behavior: The Next Marquee Application 740 Implementing the Business Intelligence Layer 743 13.6 Three Critical Components for Successful Self-Service BI 743 13.7 Leverage Data Visualization Tools, But Avoid Anarchy 745 13.8 Think Like a Software Development Manager 747 13.9 Standard Reports: Basics for Business Users 748 13.10 Building and Delivering BI Reports 753 13.11 The BI Portal 757 13.12 Dashboards Done Right 759 13.13 Don’t Be Overly Reliant on Your Data Access Tool’s Metadata 760 13.14 Making Sense of the Semantic Layer 762 Mining Data to Uncover Relationships 764 13.15 Digging into Data Mining 764 13.16 Preparing for Data Mining 766 13.17 The Perfect Handoff 770 13.18 Get Started with Data Mining Now 774 13.19 Leverage Your Dimensional Model for Predictive Analytics 778 13.20 Does Your Organization Need an Analytic Sandbox? 779 Dealing with SQL 781 13.21 Simple Drill Across in SQL 781 13.22 An Excel Macro for Drilling Across 783 13.23 The Problem with Comparisons 785 13.24 SQL Roadblocks and Pitfalls 789 13.25 Features for Query Tools 792 13.26 Turbocharge Your Query Tools 794 13.27 Smarter Data Warehouses 798 14 Maintenance and Growth Considerations 805 Deploying Successfully 805 14.1 Don’t Forget the Owner’s Manual 805 14.2 Let’s Improve Our Operating Procedures 809 14.3 Marketing the DW/BI System 811 14.4 Coping with Growing Pains 812 Sustaining for Ongoing Impact 816 14.5 Data Warehouse Checkups 816 14.6 Boosting Business Acceptance 822 14.7 Educate Management to Sustain DW/BI Success 825 14.8 Getting Your Data Warehouse Back on Track 828 14.9 Upgrading Your BI Architecture 829 14.10 Four Fixes for Legacy Data Warehouses 831 14.11 A Data Warehousing Fitness Program for Lean Times 835 14.12 Enjoy the Sunset 839 15 Final Thoughts 841 Key Insights and Reminders 841 15.1 Final Word of the Day: Collaboration 841 15.2 Tried and True Concepts for DW/BI Success 843 15.3 Key Tenets of the Kimball Method 845 A Look to the Future 847 15.4 The Future is Bright 847 Article Index 853 Index 861

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Book SynopsisUse Adobe Analytics as a marketer not a programmer! If you're a marketer in need of a non-technical, beginner's reference to using Adobe Analytics, this book is the perfect place to start. Adobe Analytics For Dummies arms you with a basic knowledge of the key features so that you can start using it quickly and effectively. Even if you're a digital marketer who doesn't have their hands in data day in and day out, this easy-to-follow reference makes it simple to utilize Adobe Analytics. With the help of this book, you'll better understand how your marketing efforts are performing, converting, being engaged with, and being shared in the digital space. Evaluate your marketing strategies and campaignsExplore implementation fundamentals and report architectureApply Adobe Analytics to multiple sourcesSucceed in the workplace and expand your marketing skillset The marketing world is continually growing and evolving, and Adobe Analytics For Dummies will help you stay ahead of the curve.Table of ContentsIntroduction 1 About This Book 1 Foolish Assumptions 2 Icons Used in This Book 2 Beyond the Book 3 Where to Go from Here 3 Part 1: Getting Started with Adobe Analytics 5 Chapter 1: Why Adobe Analytics? 7 Understanding Why You’re Using Adobe Analytics 8 Avoiding HiPPO! 8 Knowing when you need Adobe Analytics 10 Knowing the difference between reporting and analysis 10 Identifying Where Adobe Analytics Data Comes From 11 Capturing data from websites 12 Capturing data from mobile devices 14 Mining data from native apps 14 Data from IoT and beyond 15 Configuring and Analyzing Data 16 Preparing to slice and dice data 16 Optimizing your raw data 17 Being a data collection detective 17 Situating Adobe Analytics in the Universe of Data Analysis 19 Surveying how Adobe Analytics stacks up 19 Understanding how Google Analytics fits into the picture 22 Evaluating plusses and minuses 25 Noting other analytics options 26 Building a Positive Relationship with Your Data Team 26 Chapter 2: Basic Building Blocks of Reporting and Analysis 27 Standard Categories of Measurement 28 Defining Dimensions 29 Using the page dimension 30 Knowing when a page is not a page 30 Appreciating the foundational role of the page dimension 31 Splitting dimensions with breakdowns 32 Measuring with Metrics 33 Defining hits 33 Measuring page views 33 Counting visits 34 Identifying unique visitors 36 Understanding deduplication 37 Trending metrics 38 Calculating metrics 38 Measuring with Segments 39 Using Report Suites 41 Breaking it down in the real world 42 Using Adobe Experience Cloud Debugger to identify your report suite 43 Chapter 3: Conquering the Analysis Workspace Interface 45 Surveying the Analytics Environment 46 Zooming In on the Workspace 47 Creating Your First Project 48 Understanding the Calendar 51 Using Analysis Workspace Panels 53 Adding Dimensions, Metrics, Segments, and Time Components 56 Adding a dimension 58 Adding a metric 59 Adding a dimensional breakdown 59 Adding a segment 60 Adding a time 60 Navigating the Menu Structure 62 Part 2: Analyzing Data 65 Chapter 4: Building Analytic Reports with Freeform Tables 67 Working with Dimensions and Metrics 67 Wrapping your head around dimensions 68 Combining dimensions and metrics 68 Adding Dimensions to a Table 70 Adding the page dimension 70 Analyzing a second dimension using the visit number dimension 71 Mixing in the marketing channel dimension 72 Zooming in with Multiple Metrics 73 Replacing a metric 73 Adding a second metric 73 Throwing a third metric into the mix 74 Sorting and Filtering Data 75 Sorting freeform tables in ascending and descending order 75 Filtering freeform tables based on a word or phrase 76 Advanced filtering of freeform tables 77 Dropping into the Segment Drop Zone 78 Dropping one or more segments into the drop zone 78 Using metrics, dimensions, and time ranges in the drop zone 80 Exploiting the Value of Templates 81 Looking at the content consumption template 82 Examining the products template 83 Using custom templates 84 Creating custom templates 84 Chapter 5: Using Metrics to Analyze Data 87 Analyzing Time Spent 88 Counting total seconds spent 89 Measuring time spent per visit (seconds) 90 Identifying time spent per visitor (seconds) 91 Calculating average time on site 91 Assessing mobile app time spent 92 Using Metrics for Bounces, Bounce Rate, and Single Page Visits 93 Understanding Metrics Unique to Adobe 94 Counting instances 94 Measuring occurrences 94 Averaging page views per visit 96 Averaging page depth 96 Distinguishing page hits from page events 97 Identifying pages not found 98 Measuring visitors with Experience Cloud ID 98 Analyzing single access 99 Analyzing visits from search engines 99 Using the people metric 99 Exploiting Product and Cart Metrics 100 Identifying product views 100 Metrics for shopping carts 101 Using purchase metrics 103 Working with Custom Metrics in Adobe 104 Chapter 6: Using Dimensions to Analyze Data 107 Wielding Content Dimensions 108 Identifying server sources 108 Looking at the site section dimension 109 Examining hierarchy 110 Finding error pages 112 Analyzing links 112 Specifying Activity Map dimensions 117 Connecting Behavior to Advertising 121 Analyzing referrer dimensions 121 Tracking marketing channels 123 Tying back to search engines 126 Applying campaign tracking codes 130 Chapter 7: Using Device, Product, and Custom Dimensions to Analyze Data 133 Defining Key Technology Dimensions 134 Distinguishing browsers and operating systems 134 Differentiating mobile device dimensions 135 Locating users with geographic dimensions 137 Dissecting Product Dimensions 138 Zooming in on product 139 Adopting product category or not 140 Identifying customer loyalty 140 Sifting through Time Dimensions 141 Applying time-parting 141 Measuring time spent 142 Analyzing visit number 143 Identifying days before first purchase 145 Analyzing days since last purchase 146 Measuring return frequency 147 Identifying single-page visits 148 Working with Custom Dimensions 149 Defining expiration and allocation dimensions 149 Distinguishing between props and eVars 151 Applying date ranges 153 Chapter 8: Productivity Tips and Techniques 155 Exploiting Essential Keyboard and Mouse Shortcuts 155 Opening projects and saving work 156 Creating content 156 Undoing and redoing edits 157 Making quick selections for breakdowns 157 Using the clipboard to move data to other apps 158 Refreshing content 159 Deploying key keyboard shortcuts 159 Taking Advantage of One-Click Visualize 160 Generating unlocked visualizations 160 Locking visualizations 162 Saving time with visualization shortcuts 165 Invoking Time Comparisons 165 Adding a time period column 167 Comparing time periods 168 Applying Conditional Formatting 169 Understanding conditional formatting options 169 Part 3: Massaging Data for Complex Analysis 173 Chapter 9: Designing Precise Segments 175 Understanding and Defining Segments 176 Identifying segment containers 177 Distinguishing segment containers 178 Defining a Segment and Setting the Container 181 Governing your segments properly 183 Creating segments dynamically in a freeform table 185 Sharing segments between users and Adobe solutions 185 Using Virtual Report Suites Based on Segments 187 Identifying virtual report suites 187 Curating via virtual report suites 188 Redefining visits with context-aware sessions 189 Chapter 10: Creating Calculated Metrics to Accelerate Analyses 191 Understanding and Defining Calculated Metrics 191 Calculated metrics in the real world 192 Calculated metrics in the data world 193 Creating Basic Calculated Metrics in a Freeform Table 196 Calculating with two metrics 196 Applying functions to a single metric 198 Building Calculated Metrics from Scratch 198 Adding static numbers to a metric definition 202 Including parentheses when defining new metrics 203 Applying segments to create derived metrics 204 Getting the Most from Calculated Metrics 206 Applying basic and advanced functions 207 Governing all of your calculated metrics 210 Chapter 11: Classified! Using Classifications to Make Data More Accessible 213 Making Data Coherent and Accessible 214 Renaming unfriendly codes 214 Consolidating with classifications 215 Consolidating retroactively 216 Thinking outside product classifications 217 Applying classifications to breakdowns, metrics, and segments 218 Working with Classified Data 218 Identifying classified dimensions 219 Confirming: The best way to identify your classifications 220 Defining Classifications 221 Sending Data to a Classification 225 Importing classification data in bulk 225 Automating classifications with Rule Builder 228 Chapter 12: Applying Attribution Models for Sophisticated Analysis 235 Applying Attribution to Your Data 236 Differentiating Attribution Models 238 Applying last touch and first touch models 238 Considering linear and participation models 240 Exploring U-shaped, J-shaped, and inverse J models 241 Using custom and time decay models 242 Defining best fit, algorithmic, and data-driven attribution 243 Operating Attribution IQ in Workspace 244 Applying Attribution IQ in freeform tables 244 Creating calculated metrics with Attribution IQ 247 Comparing models using the attribution panel 250 Part 4: Visualizing Data to Reveal Golden Nuggets 255 Chapter 13: Creating Chart Visualizations for Data Storytelling 257 Getting the Most from Charts in Adobe Analytics 258 Getting visualization tips from templates 258 Dissecting a donut chart 258 Breaking down a bar chart 260 Looking at trends in a line chart 262 Sizing up data with stacked bar charts 264 Surveying multiple metrics with scatterplots 265 Creating Charts from Table Data 266 Generating a chart from a row of data 266 Generating a chart from multiple rows 267 Locking data displayed in a visualization 269 Building Histograms and Venn Diagrams 270 Organizing data with histograms 271 Deriving insights from Venn diagrams 273 Defining Chart Attributes in Detail 275 Visualization Beyond Data Charts 277 Chapter 14: Advanced Visualization 279 Visualizing Flow Paths 279 Defining flow paths 280 Creating a flow visualization 281 Interacting with flow visualizations 282 Analyzing Fallout Paths 286 Understanding fallout terms and concepts 287 Generating a fallout visualization 287 Building Cohort Tables 291 Understanding essential cohort table terminology 291 Generating a cohort visualization 293 Migrating from Google Analytics’ cohort table 296 Customizing and Sharing Curated Projects 298 Changing Color Palettes 300 Chapter 15: Leveraging Data Science to Identify Unknown Unknowns 303 Detecting Anomalies 304 Using Anomaly Detection for KPIs 304 Understanding how Anomaly Detection works 305 Understanding the logic and math behind Anomaly Detection 305 Identifying statistical methods and rules behind Anomaly Detection 306 Viewing anomalies in a date-based freeform table 307 Viewing anomalies without a date dimension via a trended line chart 309 Turning off Anomaly Detection 310 Discovering Contribution Analysis 311 Using Data Science to Compare Segments 314 Invoking Segment Comparison 315 Brainstorming Segment Comparison use cases 318 Chapter 16: Arming Yourself with Data from the Beyond 321 Drawing Analysis outside Workspace 322 Exporting projects to CSV or PDF 322 Sending projects from workspace to email 323 Creating alerts based on anomalies 325 Tapping into Adobe data directly in Excel 328 Visual Analysis Heat Maps with Activity Map 332 Integrating within Adobe Products 334 Dissecting Adobe Audience Manager audiences in Workspace 335 Integrating your tests and personalization 336 Capturing email metrics in Workspace 337 Integrating beyond Individual Products 337 Analyzing ad data in Adobe 338 Accessing the scale of Experience Cloud 339 Connecting data into Adobe Analytics today 340 Incorporating any dataset in the future 341 Part 5: The Part of Tens 343 Chapter 17: Top Ten Custom Segments 345 Identifying Purchasers 346 Defining a Non-Purchasers Segment 349 Isolating Single-Page Visitors 351 Identifying Single-Visit, Multi-Page Visitors 353 Bucketing SEO to Internal Search 354 Segmenting Pre-Purchase Activity 355 Going Strictly Organic 356 Finding Strictly Paid Activity 356 Filtering Out Potential Bots 357 Identifying Checkout Fallout 358 Chapter 18: Top Ten Analytics Resources 359 Checking Out Adobe’s Analytics Implementation Guide 360 Understanding Why You Need a Measurement Plan 362 Using Data Governance 362 Setting Up a Web Analytics Solution Design 363 Listening In on the Digital Analytics Power Hour 364 Getting Insights from Analytics Agencies 365 Attending Conferences, Conferences, Conferences 366 Joining the Adobe Experience League 367 Learning the Latest from the Adobe Analytics YouTube channel 368 Hacking the Bracket with Adobe Analytics 369 Index 371

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Book SynopsisLearn the realities of being a Microsoft Office Specialist and efficiently prepare for the Word Associate MO-100 Exam with a single, comprehensive study guide MCA Microsoft Office Specialist Study Guide: Word Associate Exam MO-100 comprehensively prepares you for the MO-100 Exam. Accomplished and experienced author Eric Butow provides readers with a one-stop resource for learning the job responsibilities of a Microsoft Office Specialist and succeeding on the MO-100 Exam. The study guide is written in a straightforward and practical style which, when combined with the companion online Sybex resources, allows you to learn efficiently and effectively. The online resources include hundreds of practice questions, flashcards, and a glossary of key terms. In addition to preparing you for the realities of the Microsoft Office Specialist job role, this study guide covers all the subjects necessary to do well on the certifying exam, including: Managing documentsInserting and formatting text, paragraphs, and sectionsManaging tables and listsCreating and managing referencesInserting and formatting graphicsManaging document collaboration Perfect for anyone seeking to begin a new career as a Microsoft Office Specialist, or simply wondering what the job entails, the Study Guide also belongs on the bookshelf of currently practicing professionals who want to brush up on the fundamentals of their role.Table of ContentsIntroduction xvii Assessment Test xxii Chapter 1 Working with Documents 1 Navigating Within Documents 2 Searching for Text 2 Linking to Locations Within Documents 6 Moving to Specific Locations and Objects in Documents 7 Showing and Hiding Formatting Symbols and Hidden Text 8 Formatting Documents 11 Setting Up Document Pages 12 Applying Style Settings 13 Inserting and Modifying Headers and Footers 15 Configuring Page Background Elements 16 Saving and Sharing Documents 18 Saving Documents in Alternative File Formatting 18 Changing Basic Document Properties 19 Modifying Print Settings 21 Sharing Documents Electronically 22 Inspecting Documents for Issues 24 Locating and Removing Hidden Properties and Personal Information 24 Finding and Fixing Accessibility Issues 26 Locating and Correcting Compatibility Issues 27 Summary 28 Key Terms 29 Exam Essentials 29 Review Questions 31 Chapter 2 Inserting and Formatting Text 33 Adding and Replacing Text 34 Finding and Replacing Text 34 Inserting Symbols and Special Characters 38 Formatting Text and Paragraphs 40 Adding Text Effects 40 Applying Formatting by Using Format Painter 41 Setting Line and Paragraph Spacing and Indentation 41 Applying Built-In Styles to Text 44 Clearing Formatting 45 Creating and Configuring Document Sections 48 Formatting Text in Multiple Columns 48 Inserting Page, Section, and Column Breaks 50 Changing Page Setting Options for a Section 51 Summary 54 Key Terms 55 Exam Essentials 55 Review Questions 56 Chapter 3 Managing Tables and Lists 59 Creating Tables 60 Converting Text to Tables 62 Switching Tables to Text 63 Creating Tables by Specifying Rows and Columns 64 Modifying Tables 66 Sorting Table Data 66 Configuring Cell Margins and Spacing 68 Merging and Splitting Cells 71 Resizing Tables, Rows, and Columns 73 Splitting Tables 78 Configuring a Repeating Row Header 80 Creating and Formatting Lists 83 Structuring Paragraphs as Numbered and Bulleted Lists 83 Changing Bullet Characters and Number Formatting 84 Defining Custom Bullet Characters and Number Formatting 86 Increasing and Decreasing List Levels 89 Restarting and Continuing List Numbering 90 Setting Starting Number Values 92 Summary 93 Key Terms 94 Exam Essentials 94 Review Questions 95 Chapter 4 Building References 97 Creating and Managing Referencing Elements 98 Inserting Footnotes and Endnotes 98 Modifying Footnote and Endnote Properties 101 Creating and Modifying Bibliography Citation Sources 102 Inserting Citations for Bibliographies 105 Working with Referencing Tables 107 Inserting Tables of Contents 107 Customizing Tables of Contents 108 Adding Bibliographies 110 Summary 111 Key Terms 111 Exam Essentials 112 Review Questions 113 Chapter 5 Adding and Formatting Graphic Elements 115 Inserting Illustrations and Text Boxes 116 Adding Shapes 116 Including Pictures 118 Inserting 3D Models 119 Adding SmartArt Graphics 120 Placing Screenshots and Screen Clippings 121 Inserting Text Boxes 123 Formatting Illustrations and Text Boxes 125 Applying Artistic Effects 125 Adding Picture Effects and Picture Styles 126 Removing Picture Backgrounds 129 Formatting Graphic Elements 130 Setting Up SmartArt Graphics 132 Working with 3D Models 134 Adding and Organizing Text 135 Formatting Text in Text Boxes 135 Adding Text in Shapes 137 Changing SmartArt Graphic Content 139 Modifying Graphic Elements 140 Positioning Objects 140 Wrapping Text Around Objects 141 Adding Alt Text to Objects 144 Summary 146 Key Terms 146 Exam Essentials 146 Review Questions 147 Chapter 6 Working with Other Users on Your Document 149 Adding Comments 150 Inserting Comments 150 Reviewing and Replying to Comments 151 Resolving Comments 152 Deleting Comments 153 Tracking Your Changes 155 Turning On Track Changes 155 Reviewing Tracked Changes 156 Accepting and Rejecting Tracked Changes 157 Locking and Unlocking Change Tracking 160 Summary 163 Key Terms 163 Exam Essentials 163 Review Questions 164 Appendix Answers to Review Questions 167 Chapter 1: Working with Documents 168 Chapter 2: Inserting and Formatting Text 168 Chapter 3: Managing Tables and Lists 169 Chapter 4: Building References 170 Chapter 5: Adding and Formatting Graphic Elements 170 Chapter 6: Working with Other Users on Your Document 171 Index 173

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Book SynopsisTable of ContentsAbout the Author iii Acknowledgments v Introduction xi Chapter 1 How Do I Start Using Microsoft 365? 2 Starting and Exiting an App 4 Taking a Look Around 6 Reviewing key screen features 6 Changing views 8 Zooming 10 Working with Files 11 Creating a blank file 11 Exploring templates 12 Opening an existing file 14 Switching to another file 15 Typing in a Word Document 17 Making Your First Cell Entries in Excel 19 Exploring the Excel screen 19 Moving around the sheet 21 Adding text and values 22 Adding dates and times 23 Number formatting on the fly 24 Adding Slide Content in PowerPoint 26 Making and Working with Selections 27 Selecting content in Word 27 Selecting content in Excel 28 Selecting content in PowerPoint 30 Copying or moving a selection 31 Refining Your Content 33 Spell checking your work 34 Using Find and Replace 36 Saving and Closing a File 37 Chapter 2 How Do I Develop Document Content in Word? 40 Using Outlining to Organize Your Thoughts 42 More on Navigating, Selecting, and Editing in Word 44 Creating Bulleted and Numbered Lists 47 Working with Tabs and Indent Settings 49 Setting tab stops 50 Setting indents 52 Working with Line, Page, and Section Breaks 54 Creating Columns of Text 56 Using Review Tools to Improve Your Writing 57 Getting word suggestions from the Thesaurus 58 Tracking changes and commenting 58 Chapter 3 How Do I Make Changes in Excel? 62 Working with Sheets 64 Adding, renaming, and jumping to a sheet 64 Moving or copying a sheet 65 Cell Editing Basics 66 Making changes 66 Clearing cell contents 67 Using Auto Fill and Filling Series 68 Inserting and Deleting Rows, Columns, and Cells 71 Working with Column Width and Row Height 73 Creating Range Names 75 Using the Name box 76 Using the New Name dialog box 77 Deleting a range name 78 Freezing Rows and Columns On-Screen 79 Chapter 4 How Do I Do Math with Excel Formulas and Functions? 82 Entering a Basic Formula 84 Typing the formula 84 Cell and range references in formulas 85 Using the mouse to save time 86 Dealing with minor errors 88 Learning More About Operators and Order of Precedence 88 Reviewing operators in Excel 89 Understanding how order of precedence works 91 Using parentheses in formulas 93 Making a Cell or Range Reference Absolute Rather Than Relative 94 Changing the reference type in a formula 94 How referencing works when filling, copying, or moving a formula 95 Understanding and Using Functions 97 Using AutoSum on the Home or Formulas tab 98 Typing a function in a formula 101 Using the Formulas tab to insert a function 103 Using Range Names in Formulas 107 Chapter 5 How Do I Create a PowerPoint Presentation? 110 Understanding Slide Layouts 112 Adding Slides 114 Rearranging and Deleting Slides 116 Working with Content Placeholders 117 Regular content 117 Speaker notes 119 Editing Slide Content 120 Changing Slide Size or Background 121 Preparing and Playing the Slide Show 122 Adding transitions 123 Adding animations 124 Playing the show 125 Chapter 6 How Do I Use Formatting to Enhance My Documents? 128 Changing the Number or Date Format in Excel 130 Using number formats 132 Using date and time formats 134 Changing Text Formatting 134 Applying font formatting 135 Applying alignment formatting 139 Changing Paragraph and Page Formatting in Word and PowerPoint 142 Changing overall line spacing 143 Changing spacing before and after paragraphs 143 Working with Borders and Shading 146 Using borders and shading in Word 146 Adding a page border in Word 147 Changing cell borders and shading in Excel 148 Using Styles 149 Understanding Themes 152 Reviewing elements of a theme 152 Changing themes 153 Chapter 7 How Do I Use Graphics? 156 Inserting Simple Graphics 158 Shapes 158 Pictures 160 Icons 164 Selecting and Formatting Graphics 165 Adding text to shapes 165 Changing styles 166 Changing sizing and position 168 Working with layering, alignment, and rotation 170 Working with wrapping in Word 173 Creating and Working with SmartArt 173 Adding a SmartArt graphic 173 Editing and rearranging shapes 176 Changing the graphic type and formatting 177 Deleting Graphics 177 Chapter 8 How Do I Manage Lists of Information? 180 Adding a Table in Word or PowerPoint 182 Adding the table and making entries 182 Adding and deleting rows or columns 183 Arranging a List in Excel 184 Understanding Excel’s Table Feature 187 Converting a range to a table 187 Importing or connecting to a list of data 189 Resizing a table 192 Adding a total row 192 Sorting and Filtering Lists and Tables 193 Changing Table Styles 197 Converting a Table Back to Regular Content 198 Chapter 9 How Do I Present My Data in Charts? 200 Using Different Chart Types 202 Creating a Chart in Excel 203 Creating a Chart in Word or PowerPoint 207 Changing the Chart Type and Layout 209 Formatting Chart Elements 211 Changing the Charted Data 213 Deleting a Chart 215 Chapter 10 How Do I Manage Emails and Contacts in Outlook? 216 Adding Your Account 218 Creating and Sending Messages 220 Receiving, Reading, and Replying to Messages 224 Organizing Messages 227 Adding Contacts 229 Chapter 11 How Do I Print and Share My Content? 232 Creating Headers and Footers 234 Changing Page Settings 238 Margins 238 Orientation and paper size 240 Scaling an Excel printout 240 Changing Sheet Settings in Excel 241 Adding print titles 241 Controlling whether gridlines and other features print 243 Working with Page Breaks in Excel 243 Setting a print area 243 Viewing and moving breaks 245 Previewing a Printout and Printing 246 Sharing Information in Other Ways 247 Exporting a PDF 247 Using OneDrive 249 Index 251

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Book SynopsisDiscover the techniques behind beautiful design?by deconstructing designs to understand them The term 'hacker' has been redefined to consist of anyone who has an insatiable curiosity as to how things work and how they can try to make them better.Table of ContentsIntroduction 1 Design as Literacy 2 The Hacker Attitude 3 The Gap in Design Knowledge 5 Part I: Understanding Design Chapter 1 Why Design Matters 9 What Design Really Is 11 What Design Is Not 13 The Layers of Design 15 Purpose 17 Medium and technology 17 Aesthetic decisions 18 Conclusion 18 Chapter 2 The Purpose of Design 19 Visual Design and Its Relation to User Experience Design 21 The basics of user experience design 22 The visual design of one product versus another 24 Sometimes a Visual Design Is Just Good Enough 25 Sometimes Visual Design Is Your Advantage 26 Reverse-Engineering the Twitter User Experience 28 User personas 29 Use cases 30 Wireframes 32 Knowledge Applied 33 Part II: Medium and Form Chapter 3 Medium and Form in Typography 37 The Tragedy of Misuse: Why You Hate Comic Sans 38 The Shackles of the Typographer: The Unalterable Word 45 The Formation of Our Alphabet 47 The Birth of Our Letters 50 The Twitter of the Roman Empire 51 The height of Roman typography 52 The Type That Has Lived On 62 The invention and spread of printing 63 Punchcutting: The cradle of the unalterable word 64 Venice and the Renaissance 65 France and Garamond 66 Garamond Today: Why You Don’t Use Garamond on the Web 66 The birth of the “web font” 67 A great leap 68 Bridging the gap 69 Limitations can be embraced – even parodied 72 Knowledge Applied 73 Chapter 4 Technology and Culture 75 How Trends Are Created 76 The birth of Impressionism 76 Impressionism and the middle class 78 Impressionism and photography 79 Impressionism and modern art 81 Web 2 0 graphics 82 How Apple started the Web 2 0 style 83 How Aqua influenced the web 85 How Aqua met Web 2 0 86 Form shapes technology, this time 90 SEO Is Design 90 Understanding why SEO is important 93 Choosing the right keywords 94 Considering content and coding 96 URL 97 Title tag 97 Meta tags 98 Headers 98 Content: em, strong, img 98 Authority of linking pages 99 Content of linking pages and of anchor text of links 100 Everything in moderation 100 Getting the content, getting the links 101 Knowledge Applied 102 Part III: Composition Chapter 5 Fool’s Golden Ratio: Understanding Proportions 105 What Is Proportion? 107 Proportion and Design 109 The Broken Promise of the Golden Ratio 110 The golden ratio and the Fibonacci sequence: Similar, but different 112 The golden ratio in the human form 113 Misconceptions about the golden ratio 115 The golden ratio in ancient Greece 115 The golden ratio in fine art 117 The golden ratio in nature 118 The golden ratio in psychology 118 Other Pleasing Proportions 119 The root 2 rectangle 119 The 2:3 rectangle 120 The 3:4 rectangle 121 Proportions in Our World 121 Music and dance 122 Nature 123 Computers and mobile devices 125 Proportions at Work 126 Knowledge Applied 132 Chapter 6 Holding the Eye: Composition and Design Principles 133 Compositional Relationships 134 Reading direction 135 Guiding the eye with composition 136 Renaissance sculpture 137 Impressionist paintings 139 Web design 140 Foreground/background relationships 141 In Seurat’s painting 142 In interface and web design 143 Design Principles 144 Dominance 144 Similarity 146 Rhythm 148 Texture 150 Direction 151 Contrast 156 Why the MailChimp Logo Is Beautiful: Use of Composition and Design Principles 157 Foreground/background relationships 159 Dominance 160 Similarity 160 Rhythm 162 Texture 163 Direction 163 Contrast 163 Knowledge Applied 165 Chapter 7 Enlivening Information: Establishing a Visual Hierarchy 167 What I Mean by “Hierarchy” 168 Hierarchy is expressive 170 Many visual factors can affect hierarchy 170 Hierarchical Factors in Isolation 171 White space 172 Using a grid to manage white space 172 Establishing a hierarchy with white space 173 Knowing how much white space to use 175 Considering white space and italic font style 175 Using a four-column grid 176 Type weight and size 177 Type weight 177 Type size 179 Combining weight and size 181 Color 181 Visual ornamentation 182 Hierarchy at Work 187 Knowledge Applied 190 Part IV: Color Chapter 8 Color Science 195 What Is Color? 197 The Tricks Your Eyes Play 198 Metamerism 199 Color constancy 199 Afterimages 200 How the Visual System Works 201 Cones 201 Trichromatic theory and color opponent theory 202 Mixing of dominant wavelengths and the color wheel 204 Colorblindness 205 Defining Color 207 Munsell 208 Hue, saturation, and brightness 209 Lab color model 210 Color Models and Data-Driven Graphics 211 Color and qualitative data 211 Color and quantitative data 212 Sequential versus diverging color palettes 216 Thinking in Hexadecimal Color: Understanding the Colors of the Web 217 Understanding RGB 218 How hexadecimal represents RGB 220 Mentally navigating the hexadecimal “cube” 221 The future: HSL 224 Color Models in Action: Why Your Business Card Doesn’t (and Never Will) Match Your Website 225 RGB displays versus CMYK color printing 226 Color gamuts 227 Working across media and managing color 229 Adobe RGB versus sRGB 230 “Proofing” and previewing color shifts 231 Printing with spot colors 232 Knowledge Applied 233 Chapter 9 Color Theory 235 Color Response throughout Human History 237 Color Response and Human Biology 237 The Power of Red: Why You Don’t Stand a Chance in the “Target Challenge” 238 The effect of red on your brain 239 The prefrontal cortex and rational thought 239 The attack on your prefrontal cortex 240 The prefrontal cortex and decision-making 241 Color and context 243 What this means to you 244 Research on Other Colors 245 Color and Culture 246 Color Schemes and the Color Wheel 247 Color Choices and Web Conventions 249 Backgrounds 249 White 249 Off-white 250 Dark 250 Bright 250 Graphics and text 251 Green 252 Yellow 252 Red 253 Blue 254 Accent colors 254 The Interaction of Colors: Why Monet Never Used Black 255 The Impressionists: Masters of color 256 Color theory: What the Impressionists discovered 256 Warm colors pop, cool colors recede 257 Tints pop, shades recede 257 The importance of context 258 Temperature versus tint 258 How Monet used color 260 Using color like Monet 262 Enriching your typography 262 Adding life to your graphics 263 Color Schemes 264 Monochromatic 265 Analogous 267 Complementary 269 Split-complementary 271 Triadic 274 Tetradic 276 Variations 276 Creating a Mood with Color 280 Mysterious or exclusive 280 Active 280 Muted 283 Natural 284 Tools for Creating Color Palettes and Schemes 285 Knowledge Applied 287 Part V: Appendixes Appendix A Choosing and Pairing Fonts 291 Classifying Typefaces 293 Serif typefaces 294 Old style 294 Transitional 294 Modern 295 Slab-serif 295 Sans-serif typefaces 296 Display typefaces 296 Looking At Letter Structure: The Form of the Skeleton 297 Humanist typefaces 297 Geometric typefaces 298 Realist typefaces 298 Pairing Fonts 298 The rule 299 The exception to the rule 299 Why certain fonts pair well 301 Texture 301 Character width 304 The ultimate cheat: Staying faithful to a typographer 306 All the Fonts You’ll Ever Need 307 Appendix B Typographic Etiquette 311 Distorting Type: What Not to Do 313 Fake bold 313 Fake italic 314 Fake small caps 314 Stretching type 317 Outlining type 317 Type and images or textures 318 Setting Body Copy 319 Indicating a change in paragraphs 319 Avoiding justified type 321 Avoiding widows and orphans 322 Tending to Typographic Details 323 Not all quotes are created equal 323 Using dashes dashingly 324 One space after a period, not two 324 Ligatures bring letters together 325 Index 329

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Book SynopsisAre you suffering from Data Presentation Zombification? Billions of dollars and thousands of hours are lost every year during ineffective business meetings worldwide. Data practitioners painstakingly present their valuable analytical insights, only to fall flat, inspiring more yawns than yeses. In Present Beyond Measure: Design, Visualize, and Deliver Data Stories That Inspire Action, Lea Pica provides a 4-phase, step-by-step blueprint for planning, designing, visualizing, and delivering compelling data storytelling in business presentations. Following her blueprint, you will learn how to use neuroscience and cinematic storytelling techniques to galvanize your stakeholders into action. By the final page, you''ll know exactly how to: Choose the data that matters most to your decision-makers Speak to different stakeholder audience personality types (even the most challenging) Infuse your data presentation with a persuasive narrative stTable of ContentsPrologue xi Act I Conceptualize: Presentation Planning, Story, Structure, and Brainstorming 1 1 Understand Why Effective Data Presentation Is Critical to Good Business 2 2 Be Your Audience 9 3 Learn to Speak Different Audience Languages 17 4 Transmit a Clear Message 23 5 Tell an Actual Story 29 6 Create Conceptual Clarity with Analogies 42 7 Suit Up Your Recommendations for Action 46 8 Translate Your Content into a Persuasive Outline 53 9 Brainstorm Your Content into Slide Format 70 10 Digitize Your Analog Slide Content 77 Act I Intermission 85 Act II Design Your Slides: Slide Graphics, Layout, and Emphasis 86 11 Why Bad Slide Design Is Not a PowerPoint Problem 87 12 Sharpen Their Vision with Preattentive Attributes 97 13 De-fluff Your Slides and Embrace White Space 106 14 The Lethal Downside of Bullet Points 115 15 Create Hype with Your Type 122 16 Harness the Power of Real Imagery 139 17 Master Motion with Simple Animation 162 Act II Intermission 172 Act III Visualize Data: Data Visualization + Storytelling featuring the PICA Protocol Prescription 173 18 Data Storytelling: The Intersection of Conceptualization and Design 174 19 P is for PURPOSE 176 20 I is for INSIGHT 182 21 C is for CONTEXT 194 22 A is for AESTHETICS 201 23 Choose the Right Chart 219 24 Avoid the Most Common Visualization Violations 234 25 Next-Level Charts to (Carefully) Consider 253 26 Create Ethical Data Visualizations 260 27 Build the Story: The PICA Protocol in Action 268 Act III Intermission 281 Act IV Deliver: Public Speaking, Preparation, and Communication Mastery 282 28 Why Does Delivery Even Matter? 283 29 Practice Like the Pros 285 30 Refine Your Speech Patterns 290 31 Master Your Mind and Body 295 32 Master Your Audience and Overcome Challenging Communication 304 33 Beast Mode Techniques for Maximum Audience Engagement 309 34 Send an Effective Presentation Handout 317 Act IV Intermission 324 This Is the End and Just the Beginning 325 Did You Enjoy This Book? 329 Resources 330 Recommended Reading, Resources, and Experts 332 Closing Credits 333 About the author 336 Index 337

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Book SynopsisIn this fourth edition of the bestselling business book Managing Humans, author Michael Lopp continues to draw leadership advice from some of the most important software companies of our modern age. Educational stories from companies such as Apple, Slack, and Pinterest detail the experiences of bright software engineers in an ever-changing industry.This revised edition of Managing Humans expands on the previous editions'' explorations of management essentials including handling stress, building diverse teams, running inclusive meetings, and how to lead in times of crisis. The education of a great leader never stops, and Lopp applies crucial insights to help continue your never-ending leadership education. Whether it is approaching a myriad of engineering personalities or handling unexpected conflict, you will come away with the wisdom to handle any team situation.The engineering culture of a company can determine the diffeTable of ContentsPart I1: Don't Be A Prick 2: Managers Are Evil 3: Stables and Volatiles 4: The Rands Test 5: How to Run a Meeting 6: The Twinge 7: The Update, the Vent, and the Disaster 8: Lost in Translation 9: Agenda Detection 10: Management via Worry and Crisis 11: Dissecting the Mandate 12: Information Starvation 13: Subtlety, Subterfuge, and Silence 14: Your Mid-Year Leadership Check-in 15: Managementese 16: You're Not Listening 17: The Hotel Giraffe 18: Fred Hates the Off-Site 19: A Different Kind of DNA 20: An Engineering Mindset 21: Tear It Down 22: Titles Are Toxic 23: Saying NoPart II 24: 1.0 25: The Process Myth 26: How to Start 27: Taking Time to Think 28: Meetings are Not For You 29: The Value of the Soak 30: Capturing Context 31: Trickle Theory 32: When the Sky Falls 33: Hacking is Important 34: WFH 35: Entropy Crushers 36: Your Culture is Rotting 37: The MetronomePart III 38: Bored People Quit 39: Bellwethers 40: The Ninety-Day Interview 41: Managing Nerds 42: Incrementalists and Completionists 43: NADD 44: A Nerd in a Cave 45: Meeting Creatures 46: Organics and Mechanics 47: Inwards, Outwards, and Holistics 48: The Wolf 49: Free Electrons 50: The Old Guard 51: Rules for the Reorg 52: An Unexpected Connection 53: You are Going on a Quest 54: A Glimpse and a Hook 55: Nailing the Phone Screen 56: Your Resignation Checklist 57: Shields Down 58: Chaotic, Beautiful Snowflakes 59: Epilogue: Fear is a Liar Glossary

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Book SynopsisDigital transformation is not about technology--it's about change.In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model.In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model.Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies.Trade ReviewNamed one of the "Top Ten Technology Books of 2018" by Peter High, Forbes.comAdvance Praise for What's Your Digital Business Model?:James I. Cash Jr., Lead Independent Director, Walmart--"Weill and Woerner's book provides a very useful framework for analyzing the best business model option and developing a transformation strategy in response to the digital revolution every company is going through."Francisco Gonzalez, Group Executive Chairman, BBVA--"This book will help companies to take a hard look at their digital transformation strategies and show them how to win in the fourth industrial revolution."Jean-Pascal Tricoire, Chairman and CEO, Schneider Electric--"An essential decision guide to navigate digitization, ask the right questions, and make the right choices. Based on a wealth of data points and real-life examples, this book offers practical, step-by-step tips to define and execute a winning digital transformation."Fernando A. Gonzalez, CEO, CEMEX--"Weill and Woerner's book is a must-read primer for CEOs wondering why they need to digitally transform their companies and how to succeed in the endeavor.Jennifer S. Banner, CEO, Schaad Companies; Lead Director, BB&T--"Weill and Woerner bring laser focus to the pressing need for enterprises to digitize their business models. This book is a practical, hopeful guide for executives and boards alike, providing a call to action and a framework for execution that blends cutting-edge research with real-world examples."Sammy Lee, Chairman and Chief Invisible Officer, LKK Health Products Group--"The authors provide a simple but powerful framework for enterprises to reinvent their business models for the digital age. Their probing questions, self-assessments, and real-life examples make this book a must-read for everyone who wants to make their digital transformation a success."

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Book SynopsisThis strategic guide for business and IT executives focuses on how today’s most disruptive technologies (including social, mobile, analytics, cloud, wearables, intelligent automation, robotics, and the IoT) can be applied in powerful combinations, together with platform business models, mastery of digital services, and leading practices in corporate innovation, to help you develop and execute your digital strategies for competitive advantage.Trade Review'Nicholas Evans is a magician, weaving together the complexities of the digital world into a tapestry of opportunities for alert companies and managers. And like a good magician, he makes it look easy. Get started on your digital transformation with this book NOW.' -- Henry Chesbrough * Professor at UC Berkeley Haas School of Business, Author of 'Open Innovation: The New Imperative for Creating and Profiting from Technology' *'The digital transformation, based on vast data from cheap sensors and cloud intelligence, will enable new business models, new strategies, and new empires in all industries. Using insight and case studies, Mastering Digital Business does a superb job guiding us through the changes coming, and helping us think through not only new product and logistics strategies, but how management itself must evolve to thrive in the coming decades.' -- R. Preston McAfee * Chief Economist. Microsoft *'By their very nature, transformations require disruptive changes. Digital transformations requires companies to be in a state of constant change. Mastering Digital Business shows that successful digital transformation goes beyond leading edge technology to include disruptive business models, redesigned processes, and – most importantly –cultural change.' -- Jonathan Becher * Chief Digital Officer, SAP *'Mastering Digital Businesses is a highly topical book and a must read for both business and IT executives looking to come out on top by leveraging disruptive technologies. Nick is a brilliant writer and in this book he combines case studies with in-depth analysis to provide valuable insights for digital leaders. The importance for traditional players to swiftly move towards a more agile and flexible digital environment while blending the 'new' with the 'old' can't be understated and Nick takes the reader through a straightforward thought process for how to do this successfully.' -- Robert Eriksson * Head of Engineering, Digital & Transformation, Lloyds Banking Group *'Much talk is happening about digital transformation and innovation. Rarely does this talk cover pragmatic steps regarding how to ‘make sense’ and ‘take action’ on the new opportunities that today’s most disruptive technologies catalyze. Nick’s book does that – providing “blueprints for action” – helping those who take advantage of Nick’s insights move from conceptual discussions to pragmatic action, with speed and scale. Of particular value is his distillation of patterns – or what he calls “palette” – of options of which technologies to use in which combination to take advantage of different business opportunities.' -- Ralph Welborn * CEO, Imaginatik *'With 52% of the Fortune 500, merged, acquired, gone bankrupt, or fallen off the list since 2000, the digital revolution has transformed business models. Leaders need pragmatic advice from strategy to execution on digital transformation. Nicholas’ book Mastering Digital Business provides practitioners with not only the first principles required to succeed but also a pragmatic approach to addressing the change management requirement for success in decoding digital business.' -- R “Ray” Wang * Principal Analyst & Founder, Constellation Research *'Mastering Digital Business is a real wakeup call. For company leaders willing to see, react to and foresee the signals of change, this is a must-read manual.' -- Sanjay Sarma * Professor of Mechanical Engineering, MIT *'In today's world, successful organisations recognise that technology is a force which makes scarce resources abundant. And those same organisations have put technology capability at the heart of business strategy. Nicholas D. Evans' book goes beyond the theory of the digital disruption which is impacting our lives, and provides business leaders with compelling, practical advice for redesigning our organisations, strategies, environments, and workforce to not only compete but to thrive in an age of ever increasing complexity and technical innovation. Read it. Then share it with your team!' -- Stephen Foreshew-Cain * COO, Co-op Digital *'Nicholas has managed to take the world of innovation and digital transformation and make it simple enough to understand at all levels within the business, which is no mean feat. The book covers a number of insights and strategies that will allow c-level execs and techies alike to decode the transformation of businesses in the digital age.' -- Matt Harris * Head of IT, Mercedes AMG Petronas Formula One Team *'Mastering Digital Business is fundamentally about innovation. Whether you want new products, services, processes, or business models, this book can help jump start business growth through tapping into the power of digital business.' -- Soren Kaplan * Bestselling & Award Winning Author of The Invisible Advantage *'Digital disruption is THE business issue! Leaders need to be armed with how to think about this to succeed in the future. Evans provides straightforward recipes to navigate through this important transition.' -- Mark Sherman * Managing Director, Telstra Ventures *Table of ContentsIntroduction Part I: INSIGHT – Setting Your Digital Transformation Vision Chapter 1: Designing your digital business strategy and vision Chapter 2: Re-thinking and re-designing your business models and processes Chapter 3: Maximizing the potential of today’s disruptive technologies for digital business Chapter 4: The new platform ecosystem for digital business Part II: PLANNING – Leading and Organizing for Digital Transformation Chapter 5: Organizing and adapting corporate innovation processes for digital transformation Chapter 6: Identifying and prioritizing opportunities with Innovation Workshops Chapter 7: Timing your move based on technology maturity Part III: ACTION – Digital Transformation Strategies for specific Target Business Outcomes Chapter 8: Enhancing the digital customer experience Chapter 9: Transforming the digital workplace Chapter 10: Gaining insights from analytics Chapter 11: Optimizing infrastructure and simplifying management Part IV: ROADMAP – Taking an Agile Journey to the New Platform Ecosystem Chapter 12: Mastering the digital services lifecycle and speeding time-to-market Chapter 13: The agile journey to the new platform Conclusion Appendix

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Book Synopsis As organisations shift towards a digital-first approach, the need for individuals with strong business acumen, interpersonal skills, and leadership capabilities has never been greater. This book aims to equip IT professionals with the knowledge and skills needed to collaborate and communicate effectively in today's fast-paced digital landscape. Mastering Communication and Collaboration aims to find common ground between technical, and non-technical individuals to improve communication in all areas of the business. Packed with actionable strategies and easy-to-read tools, tips and techniques, this book will help you improve your skills and become a more effective communicator and collaborator. Whether you're an aspiring leader or an experienced professional, this book is a must-have in your library. Offers practical tools and techniques for better teamwork and communication. Shares ideas from various sources to help you handle and understand complex scenarios. Provides practical strategies and easy-to-follow tips. A clear and accessible read, for everyone from business analysts and enterprise architects, to project managers and technical specialists. Trade ReviewIT permeates every facet of modern life. Yet often, even with the best intentions, the rationale for technical decisions is not always explained in a way that is of a value to users. This book is a practical ‘how to’ guide for every technologist where they can learn to understand their audience and apply certain methodologies to constructively develop these key skills. It brings together a range of real world examples, research and tools for effective communication. Highly recommended. -- Amanda Annandale, Business Architect, KPMG LLPTable of ContentsPart 1: Introduction 1: Background 2: What is an IT Business Partner? Part 2: Communication 3: The purpose and intention of communication 4: Know your audience 5: Communication – methods and tools 6: Presenting data and information 7: Interpreting data 8: Feedback – why and how 9: Communication clarity 10: Obtaining feedback – methods 11: Interpreting and responding to feedback Part 3: Collaboration 12: Why collaborate? 13: Collaboration – methods and tools 14: Collaboration – know yourself 15: Analysing your collaboration skills 16: Emotional intelligence and collaboration 17: Personal branding 18: Positive attitude 19: Collaboration skills 20: Active listening 21: Storytelling 22: Networking 23: Adapting style to meet others needs Part 4: Summary 24: Conclusion

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Book SynopsisArtificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey.No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI ​​context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss!Professor Dr. Harley KrohmerUniversity of Bern"Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.”Avo Schönbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business PunkTable of ContentsWhat is Artificial Intelligence and how to exploit it?.- Basics and drivers of Artificial Intelligence.- Fields of application of Artificial Intelligence – production area.- Fields of application of Artificial Intelligence – customer service, marketing and sales.- Fields of application of Artificial Intelligence – retail, service and maintenance sector.- Fields of application of Artificial Intelligence – health care, education and human resource management.- Fields of application of Artificial Intelligence – energy sector, smart home, mobility and transport.- Fields of application of Artificial Intelligence – financial services and creative sector.- Fields of application of Artificial Intelligence – security sector and military sector.- AI challenge – how Artificial Intelligence can be anchored in a company.- Outlook.

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Book SynopsisThis book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them. Furthermore, it gives an overview of the possible implementation architectures and shows how the designed smart services can be realized with specific technologies. Finally, it provides four specific use cases that show how smart services have been realized in practice and what impact they have within the businesses.The first part of the book defines the basic concepts and aims to establish a shared understanding of terms, such as smart services, service systems, smart service systems or cyber-physical systems. On this basis, it provides an analysis of existing work and includes insights on how an organization incorporating smart services could enhance and adjust their management and business processes. The second part on the design of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detail, encompassing topics on the design of digital twins in cyber physical systems, the communication between entities and sensors in the age of Industry 4.0 as well as data management and integration. The fourth part then highlights a number of analytical possibilities that can be realized and that can constitute or be part of smart services, including machine learning and artificial intelligence methods. Finally, the applicability of the introduced design and development method is demonstrated by considering specific real-world use cases. These include services in the industrial and mobility sector, which were developed in direct cooperation with industry partners.The main target audience of this book is industry-focused readers, especially practitioners from industry, who are involved in supporting and managing digital business. These include professionals working in business development, product management, strategy, and development, ranging from middle management to Chief Digital Officers. It conveys all the basics needed for developing smart services and successfully placing them on the market by explaining technical aspects as well as showcasing practical use cases.Table of ContentsPart I: Introduction to Smart Services.- Introduction to Smart Service Management.- Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.- Industrial Maintenance in the Digital World.- Part II: Smart Service Design.- Introduction to Smart Service Design.- Smart Service Engineering.- Smart Service Prototyping.- Capturing the Value: How to Charge for Smart Services.- Market Launch of Smart Services.- Part III: Smart Service Architecture.- Introduction to Smart Service Architectures.- Reference Architecture Models for Smart Services.- Reference ArchitectureModels for Smart Service Networks.- Smart Services in the PhysicalWorld: Digital Twins.- Part IV: Smart Service Analytics.- Service Analytics: Putting the “Smart” in Smart Services.- Part V: Smart Service Use Cases.- Introduction to Smart Service Use Cases.- Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.- Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.- Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications.- How Transformational Management Enabled the Development of a Next Level Condition Monitoring Solution.

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Book SynopsisHow do you develop business in a world certain to be dominated by Internet of Things, Artificial Intelligence, and the Economy of Things?This book brings together leading scholars from academia, established practitioners, and thought-leading consultants who analyse and provide guidance to answer this question.Case studies, checklists, success factors, help readers get a grip on this fast-paced development. At the same time, the authors do not shy away from addressing the hurdles and barriers to implementation.This book provides an essential food-for-thought for leaders and managers, both visionary and pragmatic, who are faced with the responsibility of steering their business through these challenging, yet exciting, times.Table of ContentsPart I: Exploring the Networked Economy.- Connected Business: Creating Value in the Networked Economy.- Platform Economy: Converging IoT Platforms and Ecosystems.- Ecosystems: Unlocking the Potentials of Innovation Beyond Borders.- Digital Health Interventions.- Mobility: From Autonomous Driving Towards Mobility-as-a-Service.- Industry 4.0: Navigating Pathways Toward Smart Manufacturing and Services.- Decentralized Platform Ecosystems for Data and Digital Trust in Industrial Environments.- Sustainable AIoT: How Artificial Intelligence and the Internet of Things Affect Profit, People, and Planet.- Part II: Management Strategies for Connected Business.- Digital Transformer’s Dilemma: Innovate Twice to Survive.- Experimenting: What Makes a Good Business Experiment?.- Driving Connected Business Initiatives: Do’s and Dont’s.- AI for Decision-Making in Connected Business.- Cybersecurity: Balancing Efficiency with Long-Term Resilience in Connected Ecosystems.- Patent Strategies in the Networked Economy.- Part III: Case Studies on Connected Business.- Bosch IoT Suite: Exploiting the Potential of Smart Connected Products.- GF Machining Solutions: Real-Time Manufacturing Process in a Cloud Environment.- Linde: Business Value with Connected Cylinders in Hospitals.- ABB: Creating Value with Open Smart Home Automation Systems.- Covestro: Digital Technical Services as New Business Model for the Polymer Processing Industry.- BASF: Precision Farming with Lark Bread Initiative.- AgriCircle: Innovating Agricultural Ecosystems.- AGL Energy: Moving to the Connected and Orchestrated Customers.- EnBW SMIGHT: Addressing the Energy and Mobility Transition as Electricity Grid Operator.- Siemens: UK’s First Fully Converted Electric Avenue “W9”.- Groupon: Managing a Rapidly Growing Platform with Scale-Up Metrics.- Marquard Media: 4Player’s Learning DNA to Survive Disruptions.- Vontobel: Rethinking Wealth Management.- Cambridge Analytica: Magical Rise, Disastrous Fall.

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Book SynopsisInnovations and developments in technology have laid the foundations for an economy based on digital goods and services—the digital economy. This book invites students and practitioners, to take an in-depth look at the impact that technological innovations such as social media, cryptocurrencies, crowdsourcing, and even online gaming is having on today’s business landscape. Learn about the various business models available for the digital economy, including the business models used by Bitcoin, Spotify, Wikipedia, World of Warcraft, Facebook, and Airbnb. This book details the evolution of contemporary economics within the digital stratosphere and highlights the complex ecosystem that makes up the field of digital economics. The foundational text with case studies is also peppered with anecdotes on the various technological innovations which have shaped markets throughout history. The authors provide several models and tools that are essential for analysis, as well as activities that will allow the reader to reflect, analyze, and apply the knowledge and tools presented in each chapter. Introduction to Digital Economics is a definitive guide to the complexities and nuances of this burgeoning and fascinating field of study.Table of ContentsThe Digital Economy.- Information and Communication Technologies.- Convergence of Technologies and Services.- Digital Economy Ecosystem.- Digital Market Evolution.- Digital Goods and Services.- Production Models.- Value Creation Models and Competitive Strategy.- Network Effects.- Multisided Platforms.- Path Dependence.- Lock-in and Switching Costs.- Digital Monopolies and Oligopolies.- Mergers and Acquisitions.- Standards.- The Long Tail.- Digital Markets.- Digital Market Modeling.- Digital Business Models.- Big Data Economics.- Net Neutrality.- Digital Regulation.

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Book SynopsisThis open access book is an outcome of several years of research, practice, and teaching experience of the authors on the challenges that underpin the successful switch to services for manufacturing firms. Ideal for a student as well as a practitioner, the book describes the industrial services ecosystem, the barriers and challenges, and a roadmap for building service excellence. Curated cases are used to describe the current approaches in practice to overcome the barriers. The book also provides several tools, each with a short introduction, that the authors have used successfully in projects to help overcome the servitization barriers. Many of these tools are from management, design thinking, or service design. The service excellence roadmap is based on the development methodology and helps current and future business leaders to create their own individual roadmaps.Table of Contents1. Understanding the Barriers That Slow Firms Shifting from Products to Services.- 2. Overcoming the Barriers to Service Excellence.- 3. Methods and Tools for Overcoming the Barriers to Servitization and Service Excellence.

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Book SynopsisThis book provides a method to plan, develop, validate, or evolve the design of an enterprise architecture function so that it fully meets the organization’s needs. The reader will benefit from this book in two ways. First, it provides a structured overview and orientation to the subject of architecture from an architecture function perspective. Second, it guides through the process of planning, building, and operating your own architecture organization based on a generic architecture function blueprint presented in the form of a pattern language offering a structured means for navigating, contextualizing, combining, and composing the architecture function patterns. The book is structured in six chapters. Chapter 1 “Introduction” explains the starting position and objectives of the book and introduces key concepts that will be explained further in subsequent chapters. Chapter 2 “Architecture Function Pattern Language” introduces the concepts of pattern, pattern catalogue, pattern topology, and ontology and explains how these concepts are combined to form a pattern language for planning, designing, and operating an architecture function. Next, Chapter 3 “Architecture Function – Context“ introduces concepts that are crucial for understanding the challenges that an architecture function faces and presents a generic schema for the business organizations and value chain. Chapter 4 “Architecture Function – Challenge” looks at an architecture function from a black box perspective and outlines the expectations and requirements that companies place on architecture organizations. It discusses the building blocks of an architecture function, the services it provides along the enterprise value chain, and the quality attributes that enterprises expect from their functions. Chapter 5 “Architecture Function – Constitution” then shifts from a black-box perspective to a white-box perspective and outlines the generic design of an architecture function in order to realize functional and quality-related requirements. Chapter 6 “Pattern Catalogue“ eventually introduces the pattern catalogue with a total of 48 architecture function patterns. These patterns suggest designs for collaboration between the architecture function and enterprise organizations, for the elaboration and development of enterprise services along the enterprise value chain, or for aligning architecture governance with enterprise governance. The book is intended for a broad readership, including enterprise, domain, and solution architects, lecturers and students, and anyone else interested in understanding the value proposition, responsibilities, outcomes, methods, and practices of architecture functions. It introduces the basic concepts and theories needed to understand the pattern language presented and the patterns it summarizes. Table of Contents1. Introduction.- 2. Architecture Function Pattern Language.- 3. Architecture Function: Context.- 4. Architecture Function: Challenge.- 5. Architecture Function: Constitution.- 6. Pattern Catalog.

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Book SynopsisThis book constitutes the proceedings of the Blockchain and RPA Forum, held as part of the 19th International Conference on Business Process Management, BPM 2021, which took place during September 6-10, 2021, in Rome, Italy.The Blockchain Forum and the RPA Forum have in common that they are centered around an emerging and exciting technology. The blockchain is a sophisticated distributed ledger technology, while RPA software allows for mimicking human, repetitive actions. Each of these have the potential to fundamentally change how business processes are being orchestrated and executed in practice. The 8 papers presented in this volume were carefully reviewed and selected from a total of 14 submissions. Table of ContentsRobotic Process Automation Forum.- Humans, Processes and Robots: a journey to Hyperautomation.- A Framework of Cost Drivers for Robotic Process Automation Projects.- Adding Decision Management to Robotic Process Automation.- AIRPA: An architecture to support the execution and maintenance of AI-powered RPA robots.- Blockchain Forum.- An empirical evaluation of smart contract-based data quality assessment in Ethereum.- Blockchain as a Countermeasure Solution for Security Threats of Healthcare Applications.- Studying Bitcoin privacy attacks and their Impact on Bitcoin-based Identity Methods.- Enhancing Blockchain-based Processes with Decentralized Oracles.- Methods for Decentralized Identities: Evaluation and Insights.

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Book SynopsisThis book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.Table of ContentsModels in Information System Development.- Investigating the effectiveness of model-based testing on testing skill acquisition.- Generating Low-Code Applications from Enterprise Ontology.- Supporting the Individuation, Analysis and Gamification of Software Components for Acceptance Requirements Fulfilment.- Modeling Enterprise Architectures.- Historization of Enterprise Architecture Models Via Enterprise Architecture Knowledge Graphs.- Towards Ontology-based Validation of Enterprise Architecture Principles.- Ontological Analysis and Redesign of Security Modeling in ArchiMate.- Modeling Capabilities and Ecosystems.- Foundations of capability maps – a conceptual comparison.- Applying and Evaluating the KYKLOS Method.- Using Tangible Modeling to Create an e3value Conceptual Model for Digital Ecosystems.- DSML and Meta-Modeling.- Dynamic Models - the MetaMorph Formalism and Model-Operations.- Establishing Interoperability between the EMF and the MSDKVS Metamodeling Platforms.- Beyond Business Development: Regulatory Assessment of Electricity Sector Projects with Contextual Requirements Engineering.- Participatory Modeling.- A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling.- Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations For Their Implementation.- Designing an Ontology for Human Rights Violations Documentation through Practitioner Input and Information Infrastructure Theory.

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Book SynopsisEvaluation of Essays and Comments for Developing Critical Thinking Ability during a University course.- Digital Psychology and Digital Settings.- Proposal of an online strength-based CBT intervention model in hospitalized patients with COVID-19: promotion of psychological well-being and prevention of post-COVID emotional symptoms in Italian medical setting.- The relationship between fluid intelligence and memory and how to measure it with technological tools.- New Digital Technologies for Psychotherapy.- Advances in Technology Enhanced Learning and teaching.- Intersectionality Between Open Educational Resources And Sustainable Development Goals: Future Perspectives.- Italian teachers and TPACK-G: An exploratory study of its relationship with attitudes toward DGBL and digital self-efficacy.- Collaborative Creation of Digital Storytelling Using Gamification and its effect on EFL Grammar Learning in Flipped, Blended and Traditional Classes.- Training teachers to "play seriously" testing a Game Design activity for assessment during a teacher training course.- Bilingualism and second language learning.- Bilingualism and second language learning with the use of social robots a scoping review.- Reading Profile in Deaf Adults.- Advances in Technology Enhanced Learning and teaching.- Comparison of traditional and virtual reality learning in children with ADHD.- Exploratory study of the effect of digital storytelling using Tangible User Interfaces on acquired knowledge about a story in a group of primary school children.- Virtual reality and learning in children with SEN.- Game-Based Assessment: between goals and psychometric rigor.

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Book SynopsisThis is a multidisciplinary textbook on social commerce by leading authors of e-commerce and e-marketing textbooks, with contributions by several industry experts. It is effectively the first true textbook on this topic and can be used in one of the following ways: Textbook for a standalone elective course at the undergraduate or graduate levels (including MBA and executive MBA programs) Supplementary text in marketing, management or Information Systems disciplines Training courses in industry Support resources for researchers and practitioners in the fields of marketing, management and information management The book examines the latest trends in e-commerce, including social businesses, social networking, social collaboration, innovations and mobility. Individual chapters cover tools and platforms for social commerce; supporting theories and concepts; marketing communications; customer engagement and metrics; social shopping; social customer service and CRM contents; the social enterprise; innovative applications; strategy and performance management; and implementing social commerce systems. Each chapter also includes a real-world example as an opening case; application cases and examples; exhibits; a chapter summary; review questions and end-of-chapter exercises. The book also includes a glossary and key terms, as well as supplementary materials that include PowerPoint lecture notes, an Instructor’s Manual, a test bank and five online tutorials.Table of ContentsIntroduction to Social Commerce.- Tools and Platforms for Social Commerce.- Supporting Theories and Concepts for Social Commerce.- Marketing Communications in Social Media.- Customer Engagement and Metrics.- Social Shopping: Concepts, Benefits, and Models.- Social Customer Service and CRM Contents.- The Social Enterprise: From Recruiting to problem Solving and Collaboration.- Innovative Social Commerce Applications: From Social Government to Entertainment and Gaming.- Strategy and Performance Management in Social Commerce.- Implementing Social Commerce Systems.

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Book SynopsisThis book focuses on the implementation of digital strategies in the public sectors in the US, Mexico, Brazil, India and Germany. The case studies presented examine different digital projects by looking at their impact as well as their alignment with their national governments’ digital strategies. The contributors assess the current state of digital government, analyze the contribution of digital technologies in achieving outcomes for citizens, discuss ways to measure digitalization and address the question of how governments oversee the legal and regulatory obligations of information technology. The book argues that most countries formulate good strategies for digital government, but do not effectively prescribe and implement corresponding policies and programs. Showing specific programs that deliver results can help policy makers, knowledge specialists and public-sector researchers to develop best practices for future national strategies.Trade Review“The book provide a useful resource for government policy makers and public sector researchers to develop best practices for evolving national strategies. … The book may also be useful for graduate students pursuing a course on e-governance in their public policy or public sector management programs; it provides a concise reference resource for taking up further research.” (C.S. Arora, Computing Reviews, April, 2018)​Table of ContentsTheory and Foundations of Digital Government: The Promise of Digital Government.- Measuring Digital Government: How to Assess and Compare Digitalisation in Public Sector Organisations.- Technology for Good: Innovative Uses of Emerging Technologies to Address Social Challenges.- Regulation of Digital Government.- Country Studies: Mexico: Single Window for Foreign Trade.- USA: Broadband Access and Adoption in New York State.- Brazil: Transparency Portal of the Federal Government.- India: Unique Identification Authority.- Germany: The Path to Open Data Leadership.

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Book SynopsisThis book examines the massive changes currently taking place in the business world and commonly known under the label “digitalization.” In addition, it describes the significant impacts of technological innovations on processes, products, services and business models. The digital transformation resulting from these developments leads to disruption for many enterprises and industries. While for many years, IT departments mainly concentrated on fulfilling the requirements of business departments effectively and efficiently by means of high-quality IT services and operations, today’s IT departments are increasingly expected to actively co-design and co-create the enterprise. This book describes how information technology enables innovation for businesses, and how IT departments can proactively and in a timely manner collaborate with the business departments of their corporation to leverage these innovations. It also delineates the implications of digitalization for the structures, processes and people in today’s IT departments. IT leaders and managers who are responsible for corporate IT, as well as practice-oriented researchers, will find valuable inspirations and guidance in this book, the central mission of which is to encourage and enable a more proactive role for IT in the digital transformation processes."This book demonstrates the impact of digital transformation on IT organizations and their management. It also presents potential risks for technology availability, security and data protection. The authors develop a vision of what IT management should look like in ten years if it is to continue playing an important role in the company. The book seeks to motivate IT executives and managers with IT responsibility to actively adapt their thinking and their IT organizations before they are forced to react to external pressure. Definitely worth reading!" Sven Kreimendahl, Director Business Technology Services, Campana & SchottTable of Contents

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Book SynopsisDieses Buch befasst sich mit den Grundlagen der Bildbearbeitung und von GIMP: Docks, Werkzeuge, Filter, Auswahlen, Ebenen und Pfade werden Ihnen bald sehr vertraut sein. Sie wollen Bilder verbessern und kombinieren oder gar neue Bilder erzeugen? Mit GIMP kein Problem. Sie sind sicher, dass GIMP eine bestimmte Funktionalität hat, wissen aber nicht, wo suchen? Schlagen Sie in diesem Buch nach! Für Fortgeschrittene bietet es zudem noch jede Menge Tipps zu Spezialeffekten, zum zerstörungsfreien Arbeiten, zum Schärfen und Weichzeichnen und zu vielen anderen Dingen, die bei der Bildbearbeitung Spaß machen.Table of ContentsÜber den Autor 7 Einleitung 19 Über dieses Buch 19 Wie Sie dieses Buch verwenden 19 Was Sie nicht lesen müssen 19 Törichte Annahmen über den Leser 20 Wie dieses Buch aufgebaut ist 20 Konventionen und Symbole im Buch 21 Teil I: Grundlagen 23 Kapitel 1 GIMP installieren 25 Erweiterungen für GIMP 29 Das Plugin LayerFX installieren 31 Kapitel 2 Die Oberfläche von GIMP erkunden 33 Fenster, Werkzeuge, Docks und mehr 35 Der Werkzeugkasten 36 Das Dock 38 Das Bildfenster 40 Menüs über Menüs 42 Werkzeuge versus Filter 44 Kapitel 3 Was Sie über digitale Bilder wissen sollten 45 Von Pixeln und Komponenten 46 Farbmodelle und Farbtiefen 47 Dateiformate für Bilder 48 Kapitel 4 Erste Arbeiten 53 Bilder laden 53 Bilder speichern oder exportieren 55 Bilder mailen 58 Bilder drucken 58 Die Druckgröße einstellen 59 Bilder anzeigen 60 Bilder analysieren 62 Neue Bilder erzeugen 63 Kapitel 5 Tägliches Allerlei 67 Auswahlen und Ebenen 67 Bearbeitungsschritte rückgängig machen 68 GIMP anpassen 70 Den Werkzeugkasten anpassen 71 Tastenkombinationen anpassen 71 Weitere wichtige Einstellungen 73 Teil II: Einfaches Bearbeiten von Bildern 75 Kapitel 6 Kleine Arbeiten an Bildern 77 Bilder in Form bringen 78 Zuschneiden 78 Skalieren 80 Spiegeln und Drehen 82 Hilfslinien 82 Drehen 83 Perspektivisches Verzerren 84 Werkzeuge zum Verzerren 87 Das Scher-Werkzeug 87 Käfigtransformation 88 Warptransformation 88 Text hinzufügen – das Textwerkzeug 90 Kapitel 7 Malwerkzeuge 93 Gemeinsamkeiten von Malwerkzeugen 94 Typen von Pinselspitzen 96 Interaktive Größenanpassung für Pinselspitzen 97 Die klassischen Malwerkzeuge 98 Pinsel und Stift 98 Tinte und Airbrush 100 MyPaint-Pinsel 100 Der Radierer 101 Farben einstellen 103 Erweiterte Malwerkzeuge 105 Farbverläufe (»Gradienten«) 105 Das Füllwerkzeug 108 Spezielle Malwerkzeuge zum Nachbelichten, Schärfen und mehr 109 Abwedeln/Nachbelichten 109 Weichzeichnen/Schärfen 111 Verschmieren 111 Stempelwerkzeuge: Klonen und Heilen 112 Klonen 114 Heilen 115 Teil III: Fortgeschrittene Techniken 117 Kapitel 8 Auswahlen 119 Auswahlen 119 Die Standardauswahlwerkzeuge 122 Geometrische Auswahlen 123 Freie Auswahlen 124 Die magnetische Schere 126 Farbauswahlen 127 Die Vordergrundauswahl 129 Die Schnellmaske 130 Der Auswahleditor 132 Auswahlen bearbeiten und verbessern 132 Auswahlen speichern 134 Auswahlen aus Pfaden 135 Kapitel 9 Ebenen 139 Ebenentypen 140 Das Ebenendock 141 Der Aufbau des Ebenendocks 143 Das Kontextmenü des Ebenendocks 147 Mit Ebenen arbeiten 148 Ebenen erzeugen 149 Ebenen bewegen 151 Ebenengruppen 151 Ebenenmodi 153 Ebenenmasken 156 Spezialeffekte mit »LayerFX« 159 Kapitel 10 Ins rechte Licht gesetzt 161 Farbtiefen und Helligkeitsstufen: 8 Bit versus 16 Bit 162 Histogramme verstehen 163 Automatisch angepasste Helligkeiten 166 Kontrast und Helligkeit: von Werten und Kurven 167 Helligkeit und Kontrast 169 Werte 171 Kurven (»Tonwerte« oder »Gradationskurven«) 173 Schatten und Glanzlichter 176 Kapitel 11 Farbenfroh 179 Farbwerkzeuge 179 Farbabgleich 180 Farbtemperatur 181 Farbton-Buntheit (LCh) 182 Farbton/Sättigung 183 Sättigung 184 Untermenü »Entsättigen« 184 Grau einfärben 185 Entsättigen 185 Mono Mixer 187 Sepia 187 Mehr Farben 188 Invertieren und so 188 Schwellwert 189 Einfärben 190 Posterisieren 190 Dithern 191 Farbe nach Alpha 192 Auf Farbverlauf 193 Kapitel 12 Texte und Logos 195 Einstellungen des Textwerkzeugs 195 Grundeinstellungen 196 Fonts auswählen 197 Einstellungen im Bildfenster 199 Texteditor 200 Textebenen 201 Texte exakt positionieren 203 Magnetische Raster verwenden 203 Text an Pfad 204 Texte als Masken 206 Pfade erstellen 206 Warp Text 207 Spezialeffekte für Textebenen: LayerFX 209 Logos 210 Texte als Logos 210 Alpha als Logo 212 Kapitel 13 Filter 215 Das Filtermenü 216 Weichzeichnen 218 Weichzeichnen als Effekt 219 Spielzeug-Welten mit TiltShift 221 Bewegungsunschärfe 222 Technisches Weichzeichnen 223 Verbessern 224 Hochpass 224 Rote Augen entfernen 226 Rauschreduktion 226 Symmetrisch nächster Nachbar (SNN) 227 NL-Filter 228 Schärfen (USM) 229 Flecken entfernen 231 Heal Selection 232 Wavelet-Filter 233 Verzerren 234 Lupeneffekt anwenden 234 Relief 236 Objektivfehler 236 Licht und Schatten 238 Supernova, Linsenreflex, Glitzern 239 Verlaufsaufhellung 239 Vignette 240 Schlagschatten 240 Perspektive 240 Langer Schatten 243 Kantenfilter 244 Künstlerisches 245 Kubismus 245 Ölgemälde 246 Sanftes Leuchten 247 Einfaches iteratives Clustering 247 Wasserpixel 248 Abbilden 249 Bumpmap 250 Verschieben 252 Panoramaabbildung …, Kleiner Planet 253 Rekursive Transformation 255 Auf Objekt abbilden 256 Rendern 257 Gfig 257 Linienexplosion 258 Lava 259 Plasma …, Plasma-Rauschen 259 Schachbrett 260 Gitter 261 Puzzle 261 Kapitel 14 Power-Tools 263 G’MIC, der Superfilter 263 Arbeiten mit L*a*b* 267 Arbeiten mit L*a*b* 269 Luminanz-Schärfen 271 Schärfen im Luminanzkanal 271 Schärfen mit Kantenfiltern 272 Freistellen 272 Animationen 274 Animationen erstellen 275 Animationen speichern 277 Animationen abspielen 278 RAW-Import und HDR 279 RAW-Bilder importieren 279 HDR: Dynamikkompression 280 Teil IV: Der Top-Ten-Teil 283 Kapitel 15 Die zehn besten Webadressen 285 gimporg 285 Mailinglisten 286 Erweiterungen für GIMP 287 Tutorials 287 Foren 288 G’MIC 289 GEGL 289 Wo man auch noch schauen kann 290 Kapitel 16 Zehn weit verbreitete Anfängerfehler 291 Welche Ebene ist aktiv? 291 Wird die aktive Ebene angezeigt? 291 Ist der Ebenenmodus richtig? 292 Ist die Deckkraft ausreichend? 292 Sind Pixel-/Alpha-Sperrungen aktiv? 292 Existiert eine Auswahl? 292 Gibt es eine »schwebende Auswahl«? 293 Sind die Werkzeugoptionen richtig gewählt? 293 Liegt das Bild im richtigen Modus vor? 293 Ist ein Alphakanal vorhanden? 293 Kapitel 17 Die zehn besten Tipps 295 Schrittweise vorgehen 295 Objekte auf separate Ebenen auslagern 296 Ebenengruppen einsetzen 296 Ebenen verbinden 297 Transparente Ebenen verwenden 297 Das richtige Werkzeug nutzen 297 Sich Zeit lassen 298 Versionen speichern 298 Vorsicht mit den Schriften (Fonts) 298 Experimentieren Sie! 298 Stichwortverzeichnis 301

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Book SynopsisLeitfaden zur effektiven Einführung und Nutzung eines Risikomanagementsystems: Umfassend führen die Autoren in die Thematik ein und sprechen dabei alle Mitarbeiter und ihre Rollen an – vom Management bis hin zur Entwicklung. Ihre Kombination von Grundlagenwissen, Anwendungsleitfaden und Risikokatalog ermöglicht den praktischen und regelmäßigen Einsatz in Softwareentwicklungsprojekten beliebiger Größe. Projektmanager und Programmierer erhalten hier eine gemeinsame Wissensgrundlage und optimierte Ansätze. Der Risikokatalog eignet sich ideal zum Nachschlagen. Sämtliche Risiken sind systematisch und übersichtlich in Tabellenform aufgelistet. Trade ReviewAus den Rezensionen: "… In dem vorliegenden Buch beschränken die Autoren das Thema IT-Risikomanagement auf einen dedizierten Teilaspekt, nämlich die Softwareentwicklung. … Im dritten Kapitel stellen die Autoren ihre ‘10 Thesen‘ für ein erfolgreiches Risikomanagement vor. Hier steht insbesondere der Faktor Mensch im Vordergrund. … Im siebten Kapitel haben die Autoren ein umfangreiches Risikolexikon zusammengestellt. Das Lexikon ist eine gute Referenz für die Umsetzung im eigenen Unternehmen. … Das Buch bietet dem Praktiker in der Softwareentwicklung eine solide und praxisorientierte Grundlage für die erfolgreiche Umsetzung von Projekten …" (Frank Romeike, in: Risiko Manager, 6. Februar 2008, S. 11) "… Das Buch stellt Erfolgsfaktoren für die wirkungsvolle Anwendung und Einführung eines Risiko-Managements in Softwareentwicklungsprojekten vor. Dabei greift es auf Praxiserfahrungen und wissenschaftliche Erkenntnisse gleichermaßen zurück. Das Hauptgewicht liegt ... auf dem praktischen Einsatz. Zudem enthält das Buch ein umfangreiches Risikolexikon mit einer Maßnahmensammlung für mehr als 70 verbreitete Risiken in Softwareprojekten …" (in: Computerwoche, 2008, Issue 46, S. 34 f.)Table of ContentsEinführung in das Risikomanagement.- Prinzipien wirkungsvollen Risikomanagements.- Ein Risikomanagementsystem nach Art des Hauses.- Integration des Risikomanagements in Vorgehensmodelle der Softwareentwicklung.- Risiken beschreiben und das Risikolexikon einsetzen.- Risikolexikon.

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Book SynopsisEine genaue Abstimmung zwischen IT-Systemen, Softwareentwicklung und Unternehmenserfordernissen ist ein wichtiger Wettbewerbsvorteil für ein Unternehmen. Für die Optimierung von IT im Unternehmen werden Methoden des IT-Alignments eingesetzt. In diesem Buch werden die unterschiedlichen Ebenen des Alignments erläutert und die strategische, architektonische, strukturelle und temporale Synchronisation von IT und Unternehmen dargestellt. Besondere Beachtung findet dabei die Messbarkeit des Grades der Ausrichtung von Unternehmen, IT-Architektur und Entwicklungsprozessen. Table of ContentsBetriebswirtschaftliche Größen.- Kognitives Alignment.- Architektur.- Architektonisches Alignment.- Strategisches Alignment.- Organisationsevolution.- Softwareevolution.- COTS-Software.- Temporales Alignment.- Systemisches Alignment.- Alignmentevolution.

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Book SynopsisHumanexpertsarenotsystemsofrules,theyarelibrariesofexperiences. Riesbeck and Schank (1989, p.15) Broadlyspeaking,case-basedreasoning(CBR)is concernedwith solvingnew problems by adapting solutions that worked for similar problems in the past. As with Arti cial Intelligence in general, case-based reasoning deals with two di erent aspects of intelligence: A r st motivation is to establish cog- tive models in order to understand human thinking and behavior. A second motivationis to buildsystemswhichhelpto solvereal-worldproblems.These twofacetscanbeconsideredastwosidesofthesamecoin.Traditionally,CBR researchinEuropehasconcentratedverymuchonthesecondaspect,though, of course, successful projects are not possible without a sound theory. The objective of this book is to summarize the results of recent years of research in CBR. A strong emphasis is put on projects performed and - plications developed in Germany. However, research has not been performed in isolation. Rather, a large number of cooperations between research sites throughout the world have been established which provided a fertile ground for the community. Hence, it is only natural that work from colleagues from France, Ireland, the Netherlands, and the United States has been included in this volume. This book is not intended to be a textbook giving a comprehensive overview of the eld. Rather, the objective is to consider in detail di - ent potential application areas, to work out the pros and cons of using CBR and to summarize the lessons learned from projects. For this, we assume that the reader already has at least a basic understanding of what case-based reasoning is all about.Table of ContentsExtending some Concepts of CBR — Foundations of Case Retrieval Nets.- Diagnosis and Decision Support.- Intelligent Sales Support with CBR.- Textual CBR.- Using Configuration Techniques for Adaptation.- CBR Applied to Planning.- CBR for Design.- CBR for Experimental Software Engineering.- CBR for Tutoring and Help Systems.- CBR in Medicine.- Methodology for Building CBR Applications.- Related Areas.

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Book Synopsis

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Book SynopsisProgram debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it’s not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren’t always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories – which could also be very helpful to ensuring the healthy development of the field. Table of ContentsChapter 1. Introduction.- Chapter 2. A Theoretical Framework for Spectrum-based Fault Localization.- Chapter 3. Theoretical Comparison Among Risk Evaluation Formulas.- Chapter 4. On the Maximality of Spectrum-based Fault Localization.- Chapter 5. A Generalized Theoretical Framework for Hybrid Spectrum-based Fault Localization.- Chapter 6. Practicality of the Theoretical Frameworks.- Chapter 7. Tackling the Oracle Problem in Spectrum-based Fault Localization.- Chapter 8. Spectrum-based Fault Localization for Multiple Faults.- Chapter 9. Conclusion.

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Book SynopsisA plain-English guide to the market-leading virtualization and cloud computing technology With virtualization, a single server can host dozens or hundreds of virtual machines running a variety of operating systems, and even hook them together in a virtual network or cloud infrastructure.Table of ContentsIntroduction 1 Part I: Deciding on vSphere 7 Chapter 1: Getting the Most Out of VMware vSphere 9 Chapter 2: Introducing Virtualization 15 Chapter 3: Exploring the Capabilities of VMware vSphere 29 Chapter 4: Comparing Virtual Infrastructure 3.5 with vSphere 4 x 39 Part II: Getting Ready for vSphere 51 Chapter 5: Planning for a vSphere Rollout 53 Chapter 6: Preparing Network and Storage for vSphere 65 Part III: Installing vSphere 73 Chapter 7: Installing VMware ESX 4 for the First Time 75 Chapter 8: Building the vCenter Server 89 Chapter 9: Getting Started with the vSphere Client 103 Part IV: Configuring and Connecting vSphere 111 Chapter 10: Configuring a New vCenter Server 113 Chapter 11: Wiring Up vSphere to the Network, Virtually 129 Chapter 12: Connecting vSphere to Shared Storage 149 Chapter 13: Assembling an ESX Cluster 171 Part V: Administering and Maintaining vSphere 181 Chapter 14: Creating, Cloning, and Converting VMs 183 Chapter 15: Organizing vSphere Resources 205 Chapter 16: Events, Alarms, and Monitoring 219 Chapter 17: A Quick Tour of Your Virtual Infrastructure 231 Chapter 18: One of These Hosts Is Not Like the Other — Host Profiles 241 Part VI: Tuning and Troubleshooting vSphere 259 Chapter 19: Making VMs Play Fair with Resource Pools 261 Chapter 20: Using vSphere Availability Features 271 Chapter 21: Troubleshooting vSphere 287 Part VII: The Part of Tens 301 Chapter 22: Ten Tools to Make vSphere Management Easier 303 Chapter 23: Ten Places to Improve Your vSphere Know-How 313 Chapter 24: Ten Pro Tips for a Successful vSphere Deployment 317 Index 323

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Book SynopsisA quick guide to using Microsoft OneNote on tablets, online, or on your desktop OneNote is the note-taking-and-sharing application that's part of Microsoft Office. It lets you create notes by hand, as audio, or by clipping items from other electronic formats to create a file that can be indexed and searched.Table of ContentsIntroduction 1 Part I: Getting Started with OneNote 2013 5 Chapter 1: OneNote Basics 7 Chapter 2: Managing Notes and Configuring OneNote 23 Chapter 3: Formatting Notes 41 Chapter 4: Inserting External Data and Taking Quick Notes 59 Chapter 5: Securing and Managing Notes with SkyDrive 77 Part II: Taking Notes via Other OneNote Versions 89 Chapter 6: Taking Notes with OneNote for Windows 8 91 Chapter 7: Taking Notes on Android Devices 107 Chapter 8: Taking Notes on iOS Devices 121 Chapter 9: Managing and Taking Notes with OneNote Web App 131 Part III: Putting OneNote Through Its Paces 141 Chapter 10: Sharing and Collaborating with OneNote 143 Chapter 11: Taking Notes in the Real World 155 Part IV: The Part of Tens 171 Chapter 12: Ten (or So) Resources and Add-Ins for OneNote 173 Chapter 13: Ten Killer Tips for OneNote 179 Index 185

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Book SynopsisTable of ContentsForeword xi About the Companion Website xiii 1 Data Cleaning 1 1.1 The Statistical Value Chain 1 1.1.1 Raw Data 2 1.1.2 Input Data 2 1.1.3 Valid Data 3 1.1.4 Statistics 3 1.1.5 Output 3 1.2 Notation and Conventions Used in this Book 3 2 A Brief Introduction to R 5 2.1 R on the Command Line 5 2.1.1 Getting Help and Learning R 6 2.2 Vectors 7 2.2.1 Computing with Vectors 9 2.2.2 Arrays and Matrices 10 2.3 Data Frames 11 2.3.1 The Formula-Data Interface 12 2.3.2 Selecting Rows and Columns; Boolean Operators 12 2.3.3 Selection with Indices 13 2.3.4 Data Frame Manipulation:The dplyr Package 14 2.4 Special Values 15 2.4.1 Missing Values 17 2.5 Getting Data into and out of R 18 2.5.1 File Paths in R 19 2.5.2 Formats Provided by Packages 20 2.5.3 Reading Data from a Database 20 2.5.4 Working with Data External to R 21 2.6 Functions 21 2.6.1 Using Functions 22 2.6.2 Writing Functions 22 2.7 Packages Used in this Book 23 3 Technical Representation of Data 27 3.1 Numeric Data 28 3.1.1 Integers 28 3.1.2 Integers in R 30 3.1.3 Real Numbers 31 3.1.4 Double Precision Numbers 31 3.1.5 The Concept of Machine Precision 33 3.1.6 Consequences ofWorking with Floating Point Numbers 34 3.1.7 Dealing with the Consequences 35 3.1.8 Numeric Data in R 37 3.2 Text Data 38 3.2.1 Terminology and Encodings 38 3.2.2 Unicode 39 3.2.3 Some Popular Encodings 40 3.2.4 Textual Data in R: Objects of Class Character 43 3.2.5 Encoding in R 44 3.2.6 Reading andWriting of Data with Non-Local Encoding 46 3.2.7 Detecting Encoding 48 3.2.8 Collation and Sorting 49 3.3 Times and Dates 50 3.3.1 AIT, UTC, and POSIX Seconds Since the Epcoch 50 3.3.2 Time and Date Notation 52 3.3.3 Time and Date Storage in R 54 3.3.4 Time and Date Conversion in R 55 3.3.5 Leap Days, Time Zones, and Daylight Saving Times 57 3.4 Notes on Locale Settings 58 4 Data Structure 61 4.1 Introduction 61 4.2 Tabular Data 61 4.2.1 data.frame 61 4.2.2 Databases 62 4.2.3 dplyr 64 4.3 Matrix Data 65 4.4 Time Series 66 4.5 Graph Data 68 4.6 Web Data 69 4.6.1 Web Scraping 69 4.6.2 Web API 70 4.7 Other Data 72 4.8 Tidying Tabular Data 72 4.8.1 Variable Per Column 74 4.8.2 Single Observation Stored in Multiple Tables 75 5 Cleaning Text Data 77 5.1 Character Normalization 78 5.1.1 Encoding Conversion and Unicode Normalization 78 5.1.2 Character Conversion and Transliteration 80 5.2 Pattern Matching with Regular Expressions 81 5.2.1 Basic Regular Expressions 82 5.2.2 Practical Regular Expressions 85 5.2.3 Generating Regular Expressions in R 92 5.3 Common String Processing Tasks in R 93 5.4 Approximate Text Matching 98 5.4.1 String Metrics 100 5.4.2 String Metrics and Approximate Text Matching in R 109 6 Data Validation 119 6.1 Introduction 119 6.2 A First Look at the validate Package 120 6.2.1 Quick Checks with check_that 120 6.2.2 The BasicWorkflow: validator and confront 122 6.2.3 A Little Background on validate and DSLs 124 6.3 Defining Data Validation 125 6.3.1 Formal Definition of Data Validation 126 6.3.2 Operations on Validation Functions 128 6.3.3 Validation and Missing Values 130 6.3.4 Structure of Validation Functions 131 6.3.5 Demarcating Validation Rules in validate 132 6.4 A Formal Typology of Data Validation Functions 134 6.4.1 A Closer Look at Measurement 134 6.4.2 Classification of Validation Rules 135 6.5 Validating Data with the validate Package 137 6.5.1 Validation Rules in the Console and the validator Object 137 6.5.2 Validating in the Pipeline 139 6.5.3 Raising Errors orWarnings 140 6.5.4 Tolerance for Testing Linear Equalities 140 6.5.5 Setting and Resetting Options 141 6.5.6 Importing and Exporting Validation Rules from and to File 142 6.5.7 Checking Variable Types and Metadata 145 6.5.8 Checking Value Ranges and Code Lists 146 6.5.9 Checking In-Record Consistency Rules 146 6.5.10 Checking Cross-Record Validation Rules 148 6.5.11 Checking Functional Dependencies 149 6.5.12 Cross-Dataset Validation 150 6.5.13 Macros, Variable Groups, Keys 152 6.5.14 Analyzing Output: validation Objects 152 6.5.15 Output Dimensionality and Output Selection 155 7 Localizing Errors in Data Records 157 7.1 Error Localization 157 7.2 Error Localization with R 160 7.2.1 The Errorlocate Package 160 7.3 Error Localization as MIP-Problem 163 7.3.1 Error Localization and Mixed-Integer Programming 163 7.3.2 Linear Restrictions 164 7.3.3 Categorical Restrictions 165 7.3.4 Mixed-Type Restrictions 167 7.4 Numerical Stability Issues 170 7.4.1 A Short Overview of MIP Solving 170 7.4.2 Scaling Numerical Records 172 7.4.3 Setting NumericalThreshold Values 173 7.5 Practical Issues 174 7.5.1 Setting ReliabilityWeights 174 7.5.2 Simplifying Conditional Validation Rules 176 7.6 Conclusion 180 8 Rule Set Maintenance and Simplification 183 8.1 Quality of Validation Rules 183 8.1.1 Completeness 183 8.1.2 Superfluous Rules and Infeasibility 184 8.2 Rules in the Language of Logic 184 8.2.1 Using Logic to Rewrite Rules 185 8.3 Rule Set Issues 186 8.3.1 Infeasible Rule Set 186 8.3.2 Fixed Value 187 8.3.3 Redundant Rule 188 8.3.4 Nonrelaxing Clause 189 8.3.5 Nonconstraining Clause 189 8.4 Detection and Simplification Procedure 190 8.4.1 Mixed-Integer Programming 190 8.4.2 Detecting Feasibility 191 8.4.3 Finding Rules Causing Infeasibility 191 8.4.4 Detecting Conflicting Rules 191 8.4.5 Detect Partial Infeasibility 192 8.4.6 Detect Fixed Values 192 8.4.7 Detect Nonrelaxing Clauses 192 8.4.8 Detecting Nonconstraining Clauses 193 8.4.9 Detecting Redundant Rules 193 8.5 Conclusion 194 9 Methods Based on Models for Domain Knowledge 195 9.1 Correction with Data Modifying Rules 195 9.1.1 Modifying Functions 196 9.1.2 A Class of Modifying Functions on Numerical Data 201 9.2 Rule-Based Correction with dcmodify 205 9.2.1 Reading Rules from File 206 9.2.2 Modifying Rule Syntax 207 9.2.3 Missing Values 208 9.2.4 Sequential and Sequence-Independent Execution 208 9.2.5 Options Settings Management 209 9.3 Deductive Correction 209 9.3.1 Correcting Typing Errors in Numeric Data 209 9.3.2 Deductive Imputation Using Linear Restrictions 213 10 Imputation and Adjustment 219 10.1 Missing Data 219 10.1.1 Missing Data Mechanisms 219 10.1.2 Visualizing and Testing for Patterns in Missing Data Using R 220 10.2 Model-Based Imputation 224 10.3 Model-Based Imputation in R 226 10.3.1 Specifying ImputationMethods with simputation 226 10.3.2 Linear Regression-Based Imputation 227 10.3.3 M-Estimation 230 10.3.4 Lasso, Ridge, and Elasticnet Regression 231 10.3.5 Classification and Regression Trees 232 10.3.6 Random Forest 235 10.4 Donor Imputation with R 236 10.4.1 Random and Sequential Hot Deck Imputation 237 10.4.2 k Nearest Neighbors and Predictive Mean Matching 238 10.5 Other Methods in the simputation Package 239 10.6 Imputation Based on the EM Algorithm 240 10.6.1 The EM Algorithm 241 10.6.2 EM Imputation Assuming the Multivariate Normal Distribution 243 10.7 Sampling Variance under Imputation 244 10.8 Multiple Imputations 246 10.8.1 Multiple Imputation Based on the EM Algorithm 248 10.8.2 The Amelia Package 249 10.8.3 Multivariate Imputation with Chained Equations (Mice) 252 10.8.4 Imputation with the mice Package 254 10.9 Analytic Approaches to Estimate Variance of Imputation 256 10.9.1 Imputation as Part of the Estimator 256 10.10 Choosing an ImputationMethod 257 10.11 Constraint Value Adjustment 259 10.11.1 Formal Description 259 10.11.2 Application to Imputed Data 262 10.11.3 Adjusting Imputed Values with the rspa Package 263 11 Example: A Small Data-Cleaning System 265 11.1 Setup 266 11.1.1 DeterministicMethods 266 11.1.2 Error Localization 269 11.1.3 Imputation 269 11.1.4 Adjusting Imputed Data 271 11.2 Monitoring Changes in Data 273 11.2.1 Data Diff (Daff) 274 11.2.2 Summarizing Cell Changes 275 11.2.3 Summarizing Changes in Conformance to Validation Rules 277 11.2.4 Track Changes in Data Automatically with lumberjack 278 11.3 Integration and Automation 282 11.3.1 Using RScript 283 11.3.2 The docopt Package 283 11.3.3 Automated Data Cleaning 285 References 287 Index 297

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Book SynopsisAn essential resource for anyone who wants to get up and running with this popular video-editing application, from amateur and hobbyist filmmakers to professionals who want to explore the possibilities of editing on a PC.Table of ContentsIntroduction. Part I: Introducing Adobe Premiere Pro. Chapter 1: Getting to Know Premiere Pro. Chapter 2: Setting Up Your Production Studio. Chapter 3: Getting Premiere Pro Ready to Work. Part II: Gathering Footage. Chapter 4: A Crash Course in Video Production. Chapter 5: Starting and Managing Your Movie Projects. Chapter 6: Capturing, Importing, and Managing Media. Part III: Editing in Premiere Pro. Chapter 7: Editing Clips. Chapter 8: Working with the Timeline. Chapter 9: Transitioning Between Clips. Chapter 10: Improving Your Video Images. Chapter 11: Compositing and Animating Clips. Chapter 12: Affecting Effects in Your Movies. Chapter 13: Working with Audio. Chapter 14: Giving Credit with Titles. Part IV: Wrapping Up Your Project. Chapter 15: Finalizing the Project. Chapter 16: Sending Your Project to the World Wide Web. Chapter 17: Exporting Your Movie to Tape. Chapter 18: Recording DVDs. Part V: The Part of Tens. Chapter 19: Ten Movie-Making Tips and Tricks. Chapter 20: Ten Essential Software Add-Ons for Adobe Premiere. Chapter 21: Ten Tools (and Toys) for Your Production Studio. Part VI: Appendix. Appendix. Index.

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Book SynopsisThe complete reference guide to the hot technology of cloud computing Its potential for lowering IT costs makes cloud computing a major force for both IT vendors and users; it is expected to gain momentum rapidly with the launch of Office Web Apps later this year.Table of ContentsPreface xi Acknowledgments xiii Part I: Examining the Value Proposition 1 Chapter 1: Defining Cloud Computing 3 Chapter 2: Assessing the Value Proposition 23 Chapter 3: Understanding Cloud Architecture 45 Chapter 4: Understanding Services and Applications by Type 65 Part II: Using Platforms 91 Chapter 5: Understanding Abstraction and Virtualization 93 Chapter 6: Capacity Planning 113 Chapter 7: Exploring Platform as a Service 133 Chapter 8: Using Google Web Services 151 Chapter 9: Using Amazon Web Services 179 Chapter 10: Using Microsoft Cloud Services 205 Part III: Exploring Cloud Infrastructures. 229 Chapter 11: Managing the Cloud 231 Chapter 12: Understanding Cloud Security 249 Part IV: Understanding Services and Applications 269 Chapter 13: Understanding Service Oriented Architecture 271 Chapter 14: Moving Applications to the Cloud 297 Chapter 15: Working with Cloud-Based Storage 311 Chapter 16: Working with Productivity Software 339 Chapter 17: Using Webmail Services 361 Chapter 18: Communicating with the Cloud 383 Chapter 19: Using Media and Streaming 403 Part V: Using the Mobile Cloud 423 Chapter 20: Working with Mobile Devices 425 Chapter 21: Working with Mobile Web Services 445

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Book SynopsisA simplified approach to applying the Finite Element Method to geotechnical problems Predicting soil behavior by constitutive equations that are based on experimental findings and embodied in numerical methods, such as the finite element method, is a significant aspect of soil mechanics.Trade Review"The book can be useful for civil engineering students and practitioners." (Zentralblatt MATH, 2008)Table of ContentsChapter 1. Properties of Soil. Chapter 2. Elasticity and Plasticity. Chapter 3. Stresses in Soil. Chapter 4. Consolidation. Chapter 5. Shear Strength of Soil. Chapter 6. Shallow Foundations. Chapter 7. Lateral Earth Pressure and Retaining Walls. Chapter 8. Piles and Pile Groups.

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Book SynopsisO'Brien's Introduction to Information Systems 16e reflects the contemporary use of enterprise-wide business systems. New real-world case studies continue to correspond with this industry reality. The text's focus is on teaching the future manager the potential effect on business of the most current IT technologies such as the Internet, Intranets, and Extranets for enterprise collaboration, and how IT contributes to competitive advantage, reengineering business processes, problem solving, and decision-making. The benchmark text for the syllabus organized by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O'Brien defines technology and then explains how companies use the technology to improve performance. Real world cases finalize the explanation.Table of ContentsMODULE I Foundation Concepts1. Foundations of Information Systems in Business 2. Competing with Information Technology MODULE II Information Technologies3. Computer Hardware4. Computer Software 5. Data Resource Management 6. Telecommunications and Networks Module III e-Business Applications7. e-Business Systems 8. Business Across the Enterprise 9. e-Commerce Systems 10. Supporting Decision Making MODULE IV Development Processes11. Business/IT Strategies for Development 12. Implementing Business/IT SolutionsMODULE V Management Challenges13. Security and Ethical Challenges14. Enterprise and Global Management of Information Technology Review Quiz Answers Selected References Glossary for Business Professionals Name Index Company Index Subject Index

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