Business applications Books

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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Book SynopsisMichael K. Spayd's career in Agile began in 2001 as one of the leaders of a very large-scale adoption of Agile XP. Subsequently, Michael led and coached Agile transformations in a wide variety of contexts; as part of his practice, speaking, and teaching, he has endeavored to bring in key disciplines from fields external to Agile, such as professional coaching, systemic management, organization development (OD), organization culture and change, and approaches to develop more effective sensemaking in leaders. In 2010, Michael cofounded the Agile Coaching Institute, where he trained several thousand Agile coaches. In 2016, he cofounded Trans4mation, and in 2020 he and colleagues launched the Collective Edge ( www.the-collective-edge.com), to help expand consciousness at the critical edge of our collective needs. Michele Madore is the principal and cofounder of Trans4mation ( www.trTrade Review“ Agile Transformation is a wonderful, very readable, and very important book. What makes virtually all other books on transformation, leadership, and business so inadequate is their partial, incomplete, and non-inclusive character. This is exactly the inadequacy handled by Agile Transformation through the use of Integral metatheory, a systemic framework built to be as comprehensive as possible. Thus, Agile Transformation is as inclusive as can be, and that is what makes this book so incredibly important. So if you are engaged in a transformation, I strongly recommend that you not continue to be fractured and broken in your own approach, but step up to the wholeness and completeness of Agile Transformation.” —Ken Wilber, The Integral Vision “This book does not pull its punches. From the first page to the last, the Agile Transformation operating system works the simple and core truth about transforming an organization—it depends on you being transformed. There will be no Agile organizational transformation otherwise. There is much in this book that will help you learn about how to implement a successful Agile Transformation, but it is all for naught if you don't embody and lead the change. You are the vessel. It won't change unless you do. If you're serious about having your Agile Transformation succeed, read this book.” —Bob Anderson, chairman, The Leadership Circle “It's difficult to keep your focus sharp while broadening your perspective, but that is what Michele and Michael have pulled off in their new book on leading Agile Transformation. Impressively succinct, they provide straightforward tools and essential advice that will be useful for all leaders of transformation initiatives. So how did they do it? Well, for one thing, rather than positioning traditional and Agile-inspired management viewpoints as locked in combat, as many of their predecessors have done, they show how they are equally important, complementary features of a single unifying framework. Just as important, they know what is imperative, what to simplify, and what to ignore, the kind of knowledge that can only be distilled from decades of experience.” —Charlie Rudd, chairman and CEO, SolutionsIQ, an Accenture company “This is a must-read for any leader embarking on or in the midst of an Agile Transformation. Michele Madore and Michael Spayd's integral approach provides organizations with tremendous insights into how to overcome the pitfalls of process-centric transformations that are all too common. They have done a brilliant job of making clear, relatable, and actionable what many see as the most nebulous aspects of leading transformation.” —Shannon Ewan, managing director, ICAgile “Michele and Michael have written a beautiful book about change, intertwining their in-depth knowledge and vast experience with Agile Transformations. It gave me a vocabulary and understanding of the change territory, so now I have a way to navigate, too, and at the same time, it has nudged me gently to start exploring the same and go for my own development journey.” —Zvonimir Durcevic, enterprise Agile coachTable of ContentsPreface xiiiAcknowledgments xvAbout the Authors xvii Introduction: Why an Integral Perspective? 1 The Integral Operating System 2 How This Book Is Organized 4 Questions Addressed by This Book 6 Our Perspective (and Biases) 7 Part I: Agile Transformation: An Integral Approach 9Chapter 1: The Holon: Fundamental Building Block of the Integral Framework 11 Organizational Complexity 11 Holons 13 Holons and Agile Transformations 20 Summary 23 From Insight to Action 23 Chapter Notes 24 Chapter 2: The Quadrants: The Four Fundamental Perspectives 25 Deconstructing the Four Perspectives 25 Quadrants in Agile Transformations 36 Summary 37 From Insight to Action 37 Chapter Notes 38 Chapter 3: Integral Altitudes: The Evolution of Complexity 39 Why Altitude Matters 40 The Integral Concept of Altitude 41 How Altitudes Show Up in Organizations 41 Corroborating Research on Altitude 52 Evolution Across Quadrants 56 Summary 62 From Insight to Action 63 Chapter Notes 63 Chapter 4: Lines of Development 65 Developmental Lines 65 From Insight to Action 68 Summary of Part I 68 Part II: Transformational Leadership: Upgrading the Leader's Operating System 71Chapter 5: Transformational Leadership 75 The Context for Transformational Leadership 76 The Business Case for Transformational Leadership 82 The Essence of Transformational Leadership 84 Summary 89 From Insight to Action 89 Chapter 6: The Developmental Landscape 91 The Core of Development: “Our Story” 91 Deconstructing the Levels 95 Collective Leadership Development 102 Summary 103 From Insight to Action 103 Chapter 7: The Developmental Path 105 How Development Actually Happens 106 The Shift from Reactive to Creative 117 The Shift from Creative to Integral 119 Using the Integral Disciplines to Foster Development 120 Increasing Collective Effectiveness 122 Summary 123 From Insight to Action 123 Part III: Organizational Transformation: Putting the Integral Compass to Work 125Chapter 8: The Integral Agile Transformation Framework: An Overview 127 How Do We Use the Map? 128 The IATF Quadrants 129 Integrating the Quadrant Perspectives 138 How Quadrants Look from Different Holons 142 Summary 149 From Insight to Action 149 Chapter 9: The Integral Disciplines: Focusing the Transformation 151 Integral Disciplines and Developmental Lines 151 IATF Integral Disciplines 153 Integral Disciplines Mapped to Developmental Lines 154 Summary 177 From Insight to Action 177 Chapter Notes 178 Chapter 10: Leading an Agile Transformation 179 How to Get Started 179 Transformational Leader Role and Competencies 180 Activating the Integral Disciplines 204 Summary 209 In Conclusion 209 References and Relevant Readings 211Index 215

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Book SynopsisLearn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work. Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you'll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You'll also see how Tableau can complement and communicate with Excel. After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool. What Will You Learn Master the core concepts of Tableau Automate Table of ContentsChapter 1: IntroductionChapter Goal: The need for data visualization tools such as Tableau for business users No of pages 4 Sub -Topics 1. Why visualize data 2. Who is this book for 3. How is this book different Chapter 2: Installation and Setup Chapter Goal: Onboard readers with the setup of tableau. No of pages: 3 Sub - Topics 1. Installation of tableau 2. Data sources required for the exercises Chapter 3: Fundamentals of Data Chapter Goal: Gentle introduction to the fundamentals of data No of pages : 6 Sub - Topics: 1. Data types 2. Data sources 3. Data preparation 4. Converting business questions to the language of data Chapter 4: The Crux of Tableau Chapter Goal: Distillation of the core concepts of Tableau No of pages: 17 Sub - Topics: 1. 4 Building pillars 2. Putting it all together 3. Show me 3. Sheets & Dashboards Chapter 5: Calculations Chapter Goal: Enrich the data by creating calculated fields No of pages: 16 Sub - Topics: 1. Grouping Values 2. Calculated Fields 3. Row level, Aggreation & Dis-Aggregation 4. Bringin more data 5. Importance of Cardinality 6. Data Modeling Chapter 6: Tables & Table Calculations Chapter Goal: Comparisons and trend calculations through tables No of pages: 15 Sub - Topics: 1. Show me or start from scratch ? 2. Table totals 3. Table calculations 4. Sorting Chapter 7: Advanced Tips Chapter Goal: Advanced functionalities of Tableau No of pages: 15 Sub - Topics: 1. Dynamic Inputs - Parameters 2. Top 10/20/50 filters 3. Dual Axis 4. Shapes & Icons 5. Level of detail calculations 6. Reference lines & forecast 7. Order of operations Chapter 8: Dashboards Chapter Goal: Bring it all together by enabling users to build interactive dashboards No of pages: 9 Sub - Topics: 1. Less I more 2. Dashboards: A view from 10000ft 3. Fit & Layout 4. Filters & Interaction

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Book SynopsisDiscover a new way of thinking about business applications in light of the massive industry shift toward cloud computing and reactive programming technologies. This book synthesizes technologies and techniques such as event sourcing, command query responsibility segregation (CQRS), property-based testing, and GraphQL into a cohesive guide for modern business applications that benefit every developer.The book begins with a look at the fundamentals of modern business applications. These fundamentals include business rules and the managing of data over time. The benefits of reactive techniques are explained, including how they are fundamentally aligned with what application developers strive to achieve in their work.Author Peter Royal equips you with sound guidance to follow as you evolve your existing systems, as well as examples of how to build those systems using modern techniques in Spring, Java, and PostgreSQL.Table of ContentsPart I. On Business Applications1. What Is A Business Application?2. The Status Quo (and How It Can To Be)Part II. Design Prerequisites 3. What Is A Reactive System?4. Why Build Business Applications as Reactive Systems?5. What Is A Business Rule?6. Managing TimePart III. Design7. Constraints and Principles8. High-Level Data Flow9. Command Processor10. Command Generator11. Event Materializer12. Testing, Monitoring, and Observability13. Required TechnologiesPart IV. Implementation14. Building with Modern Spring, Java, and PostgreSQL15. Expansion Points and Beyond

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Book SynopsisOne approach which is becoming very popular nowadays is to measure the effectiveness of e-Learning solutions via analysis of data gathered from authentic educational environments. This constitutes the ultimate goal of the underlying book. More specifically, this book discusses and presents several evaluation approaches as they have been applied in real practice. Criticism, best practices, and lessons learned from the application of these approaches are discussed. The book includes innovative contributions and real world evaluation studies in authentic learning environments by experienced researchers in e-Learning.

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Book SynopsisOne approach which is becoming very popular nowadays is to measure the effectiveness of e-Learning solutions via analysis of data gathered from authentic educational environments. This constitutes the ultimate goal of the underlying book. More specifically, this book discusses and presents several evaluation approaches as they have been applied in real practice. Criticism, best practices, and lessons learned from the application of these approaches are discussed. The book includes innovative contributions and real world evaluation studies in authentic learning environments by experienced researchers in e-Learning.

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Book SynopsisWell over a century ago oil drove the development of innovations such as the internal combustion engine, central heating and plastics, changing our world and our economy. Oil, as a technology, fueled an economic force that inexorably changed the way people lived and worked. Today, data is fueling a very similar change: it is the driving force for new business models and disruptive technologies that impact companies in every imaginable industry. The New Oil shows how data changes the traditional business paradigm. How it impacts not just high-tech, high-profile companies, but also old-school, low-tech industries all around the world; data lives and breathes within every single company. In The New Oil, Arent van ''t Spijker explains how companies such as Google, Nike and Adara are leveraging a ''Data Driven Strategy''. Many other examples highlight the applications and commercial potential for data. Van ''t Spijker describes five typical business models for monetizing data that help you to develop viable business models for leveraging data in your own company. He then shows how to successfully put these business models to practice. Above all, he will inspire you to follow in the footsteps of market leaders.

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Book SynopsisRapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI. Trade Review“Teaching and training ethics is already a difficult task. Adding AI to the ethics discussion further complicates decision making for managers, but this book provides clear examples and urgency for it to be done. For practitioners and researchers who seek to help with organizational development and implementation of AI and AI ethics, this book can be a valuable asset. The scholarly studies cited … provide a rich empirical landscape from which to build a foundation for other empirical studies on Tall system implementation.” (Claretha Hughes, Robonomics, The Journal of the Automated Economy, Vol. 4, May, 2023)Table of Contents1. Introduction.- 2. Artificial Intelligence.- 3. Ethics and Moral.- 4. Business and Management Perspective.- 5. Empirical Study.- 6. Findings.- 7. TAII Framework.

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Book SynopsisThis book covers various topics such as Internet technology, retail innovations, governance, data mining, and communication technologies with a focus on e-banking, cybercrime, retail operations, rural development, and security issues.

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Book SynopsisInformation technology is integrated in the fabric of all major organizations. From improving to ensuring effectiveness, IT has become a guiding force for organizational excellence. The present book is a compilation of selected papers aiming to disseminate the klnowledge generated by the researchers.

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Book SynopsisThis book acts as a valuable quick-access resource on the challenges and opportunities that the digital age presents to organizational leadership. Balanced, comprehensive, and thought-provoking, the book will be useful to professionals and practitioners. The book broadly follows a macro, meso, and micro approach to argumentation and is best read from beginning to end. The book synopsizes the historical context of technological revolutions and reflects on first-order results from enhanced use of information and communication technology in organizations; considers second-level impacts from information and communication technology on economy, society, work, and the very act of organizing; maps out core concepts of agility and principles that leaders should honor to exploit agility in newfound workforce ecosystems; showcases emerging leadership behaviors and mindsets; and specifies the good practice needed to plan and lead digital strategies. The book invites reference to the author's popular Knowledge Solutions: Tools, Methods, and Approaches to Drive Organizational Performance (2017) and the more recent Leading Solutions: Essays in Business Psychology (2021), which it both rests on and extends.Table of Contents1.Information and Communication Technology in Organizations: An Evolutionary Perspective.- 2.Information and Communication Technology in Organizations: Impacts and Implications.- 3.Information and Communication Technology in Organizations: Powering Agile-Friendly Leadership.- 4.Leading in the Digital Age.- 5.Planning and Driving a Digital Strategy.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisUrsula Plesner is an associate professor at the Department of Organization, Copenhagen Business School. Most of her work examines the relationship between digital technologies and organization in different sectors and industries. She uses her research-based insights in executive teaching focusing primarily on how to organize and manage work around digital technologies. Her work has appeared in journals such as Organization and Strategic Organization. Her work on journalism and digitization has been published in Journalism and in Journal of Organizational Change Management. Emil Husted is an assistant professor at the Department of Management, Politics and Philosophy at Copenhagen Business School (CBS). He is the author of articles and book chapters on the organization of political parties and social movements. His work has appeared in journals such as Organization, Culture and Organization, The Information Society, and ephemera. Emil teaches on the intersection of politics, organizatioTrade ReviewThis excellent book provides a profound and systematic overview of how work is actually changing with digital technologies ... A must-read for anyone involved in organization studies. * Judy Wajcman, London School of Economics, UK *This book sees the digital revolution not only in its discontinuities with past practices but also its continuities ... An invaluable resource. * Stewart Clegg, University of Technology Sydney Business School, Australia *A refreshing perspective on digital phenomena and their impact on today's organizations and ways of working ... Timely and useful. * Anne-Laure Fayard, NYU Tandon School of Engineering, USA *Table of ContentsPART 1: DIGITAL ORGANIZING 1. The Digital and the Organizational 2. Technology as a Theme in Organization Studies 3. Perspectives on Technology and Organization PART 2: REVISITING THEMES IN ORGANIZATION STUDIES 4. Structure and Infrastructure 5. Production and Produsage 6. Collaboration and Co-Creation 7. Knowledge and Datafication 8. Communication and Interactivity 9. Legitimacy and Transparency 10. Power and Empowerment 11. Implications of Digital Organizing.

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Book SynopsisThe second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others.Table of ContentsThe Updated DeLone and McLean Model of Information Systems Success.- If They Build It, Will They Come? The Technology Acceptance Model.- A Bibliometric Analysis of Articles Citing the Unified Theory of Acceptance and Use of Technology.- Why do People Reject Technologies: A Review of User Resistance Theories.- Task-Technology Fit Theory: A Survey and Synopsis of the Literature.- Migrating Processes from Physical to Virtual Environments: Process Virtualization Theory.- The Theory of Deferred Action: Purposive Design as Deferred Systems for Emergent Orgaisations.- Resource-based View Theory.- On the Business Value of Information Technology: A Theory of Slack Resources.- Portfolio Theory: The Contribution of Markowitz's Theory to Information System Area.- The Theory of the Lemon Markets in IS Research.- The Technology: Organization - Environment Framework.- Contingency Theory in Information Systems Research.- IT and Porter's Competitive Forces Model and Strategies.- Information Technology and Organisational Performance: Reviewing the Business Value of IT Literature.- Applying "Business Case" Construct Using the "Diffusion of Innovations" Theory Framework: Empirical Case Study in the Higher Edcuation.- Punctuated Equilibrium Theory in IS Research.- Discrepancy Theory Models of Satisfaction in is Research.- Institutional Change and Green IS: Towards Problem-driven, Mechanism-based Explanations.- A Multi-level Social Network Perspective on ICT Adoption.- Expectation Confirmation Theory in Information System Research: A Review and Analysis.- Stakeholder Theory & Applications in Information Systems.

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