Enterprise software Books

Book SynopsisGet productive quickly with Pentaho Data IntegrationKey Features Take away the pain of starting with a complex and powerful system Simplify your data transformation and integration work Explore, transform, and validate your data with Pentaho Data Integration Book DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution.This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers.By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis.What you will learn Design, preview and run transformations in Spoon Run transformations using the Pan utility Understand how to obtain data from different types of files Connect to a database and explore it using the database explorer Understand how to transform data in a variety of ways Understand how to insert data into database tables Design and run jobs for sequencing tasks and sending emails Combine the execution of jobs and transformations Who this book is forThis book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation.Table of ContentsTable of Contents Getting Started with PDI Getting Familiar with Spoon Extracting Data Tranforming Data Loading Data Orchestrating your Work

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Book SynopsisMeghan Casey owns Do Better Content Consulting. She helps a wide variety of clientsfrom startups, nonprofits, colleges and universities, Fortune 50 companies, and everything in betweensolve the messy content problems most organizations encounter every day. Meghan has also helped several agencies and clients build their capacity to do content strategy. Perhaps her proudest moments are when content strategy practitioners tell Meghan that the first edition of this book helped them launch their content strategy career, tackle a difficult content project, or get a promotion. A regular trainer and speaker on content strategy topics, she once inspired participants to spontaneously do the wave in a workshop setting. Yep, that really happened. Meghan has been working with content and communications since 1996, after receiving her Bachelor of Arts degree in writing from Concordia College. She also holds a Master of Arts in nonprofit management from Hamline University.Table of ContentsPART I: GET BUDGET AND BUY-IN 1 IDENTIFY PROBLEMS AND OPPORTUNITIES 2 CONVINCE LEADERS AND GET THE RESOURCES PART II: SET UP FOR SUCCESS 3 GET STAKEHOLDERS ON BOARD 4 ASSEMBLE YOUR CROSS‑DISCIPLINE TEAM 5 PREPARE FOR CHANGE PART III: DIG IN AND GET THE DIRT 6 UNDERSTAND YOUR BUSINESS ENVIRONMENT 7 LEARN ABOUT YOUR AUDIENCE AND USERS 8 GET FAMILIAR WITH YOUR CONTENT 9 EVALUATE YOUR PROCESSES PART IV: ARTICULATE YOUR STRATEGY 10 ALIGN ON A STRATEGIC FOUNDATION 11 SET YOUR CONTENT COMPASS PART V: DESIGN YOUR CONTENT 12 PRIORITIZE BASED ON YOUR STRATEGY 13 ORGANIZE FOR INTUITIVE WAYFINDING 14 DEFINE THE CONTENT EXPERIENCE 15 SPECIFY CONTENT STRUCTURE AND REQUIREMENTS PART VI: IMPLEMENT AND EVOLVE 16 DEFINE HOW YOU'LL GOVERN YOUR CONTENT 17 BUILD OUT YOUR CONTENT PLAYBOOK

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Book SynopsisAbout the Author: Adam Freeman is an experienced IT professional who started his career as a programmer. He has held senior positions in a range of companies, most recently serving as Chief Technology Officer and Chief Operating Officer of a global bank. He has written 49 programming books, focusing mostly on web application development. This industry-leading guide to ASP.NET Core teaches you everything they need to know to create easy, extensible, and cloud-native web applications. For .NET web developers looking to learn about ASP.NET s key tools and techniques.

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Book SynopsisAccelerate your digital transformation and break down silos with Microsoft Dynamics 365 It's no secret that running a business involves several complex parts like managing staff, financials, marketing, and operationsjust to name a few. That's where Microsoft Dynamics 365, the most profitable business management tool, comes in. In Microsoft Dynamics 365 For Dummies, you'll learn the aspects of the program and each of its applications from Customer Service to Financial Management. With expert author Renato Bellu's clear instructions and helpful tips, you'll be managing to your fullest advantage before you know it. Let's get started! Digitally transform your business by connecting CRM and ERPUse data to make decisions across all business functionsIntegrate Dynamics 365 with Office 365 and LinkedInManage financials and operations Are you running a dynamic business? This book shows you how!Table of ContentsIntroduction 1 Who Should Buy This Book 1 About This Book 2 Part 1: Doing Great Things with Microsoft Dynamics 365 2 Part 2: Customer Engagement (formerly Dynamics CRM Online) 2 Part 3: Business Central ERP (formerly Dynamics NAV) 2 Part 4: Finance and Operations ERP (formerly Dynamics AX) 3 Part 5: The Part of Tens 3 Foolish Assumptions 3 Icons Used in This Book 3 Beyond the Book 4 Part 1: Doing Great Things with Microsoft Dynamics 365 5 Chapter 1: Floating on a Secure Cloud 7 Getting Under the Dynamics 365 Umbrella 9 Gaining a little historical perspective 10 Reading the roadmap for Microsoft ERP and CRM 12 Asking what’s in the Dynamics 365 “sausage” 13 Standardizing the tools and terminology 15 Transitioning to the Cloud 16 Understanding the difference between hosted client/server and true SaaS 17 Migrating from Dynamics GP or SL to Dynamics 365 19 Migrating from Dynamics CRM or CRM Online to Dynamics 365 21 Migrating from Dynamics AX to Dynamics 365 Enterprise edition 22 Migrating from Dynamics NAV to Dynamics 365 Business edition 23 Chapter 2: Extending Your Reach with Office 365 25 Working with the Admin Center 25 Managing users 26 Purchasing and managing subscriptions 28 Setting the password expiration 31 Integrating Dynamics 365 with Outlook Email 32 Adding the Excel Add-In for Finance and Operations 37 Organizing Documents with SharePoint and OneDrive 40 Messaging with Skype for Business 45 Chapter 3: Powering Up Your Business Intelligence 49 A Little Pre-History 50 Exploring Data through Power BI 51 Installing Power BI Desktop 54 Connecting to Dynamics 365 with Power BI Desktop 55 Connecting to a file 56 Connecting to a SQL View 56 Connecting to Dynamics 365 57 Connecting Power BI to Business Central 57 Connecting Power BI to Finance and Operations 59 Harnessing the Power of Apps and Content Packs 63 Embedding Dashboards in Dynamics 365 65 Chapter 4: Extending Dynamics 365 with PowerApps 67 Providing Power to Your People with PowerApps 68 Finding out whether PowerApps is right for you 70 Making external PowerApps connections 72 Adding an Option set 74 Adding a data connection 76 Making your app your own with App Settings 78 Connecting PowerApps to Dynamics 365 79 Chapter 5: Going with the Microsoft Flow to Enhance Dynamics 365 83 Setting Up Basic Workflows Using Microsoft Flow 84 Grasping the Relationship Between Document Management and Workflow 87 Seeing How Microsoft Does ECM 88 Understanding Workflow in the ERP and CRM Realms 89 Considering your workflow options in Dynamics 365 90 Comprehending the Microsoft Flow advantage 94 Part 2: Customer Engagement (Formerly Dynamics Crm Online) 97 Chapter 6: Turning Relationships into Revenue with Sales 99 Understanding CRM-Related Terms 99 Navigating the Navigation Bar 103 Working with Leads, Accounts, and Contacts 105 Leading the way with leads 107 Working with accounts 110 Connecting with contacts 111 Tracking Opportunities 114 Creating Quotes, Orders and Invoices 116 Chapter 7: Connecting with Customers Anytime, Anywhere with Customer Service 117 Knowing Your Way Around Dynamics 365 for Customer Service 118 Users 119 Accounts 120 Contacts 120 Cases 120 Posts and notes 121 Activities 121 Tasks 121 Queues 123 Views 123 Working with Cases 125 Finding a case 125 Adding a new case 127 Annotating an existing case 129 Taking action on an existing case 130 Adding knowledge articles (KB records) 132 Relating a case to other information 133 Gaining Control with Dynamics 365 for Customer Service Dashboards 135 Chapter 8: Profiting from Project Service Automation 137 Categorizing Project Software 139 Avoiding complicated project accounting 141 Rules of thumb for selecting project software in Dynamics 365 143 Knowing Your Way around Dynamics 365 for Project Service Automation 144 Connecting remotely with the Project Service Hub 146 Getting familiar with the components of Project Service Automation 147 Recognizing the importance of planning the setup of Project Service 148 Chapter 9: Creating and Nurturing Leads with Marketing 153 Connecting Marketing to Sales 154 Escaping the Doldrums of Drab Emails and Boring Web Pages 156 Using templates to get up to speed quickly 157 Segmenting your contacts for marketing and subscription lists 158 Adding a static marketing segment 159 Listening to the Voice of the Customer 161 Dashing Off to Marketing Dashboards 164 Configuring Advanced Settings in Dynamics 365 for Marketing 164 Chapter 10: Going Mobile with Field Service 167 Assessing Microsoft’s FSM Competitors 169 Taking the Back-office ERP into Consideration 170 Getting Acquainted with the Key Components of Dynamics 365 for Field Service 171 Living the Dream of Efficient Field Service: The Work Order Lifecycle 174 Configuring Administrative Settings for Dynamics 365 for Field Service 175 Working with Work Orders 177 Adding a Customer Asset 179 Transferring Inventory 180 Part 3: Business Central Erp (Formerly Dynamics Nav) 183 Chapter 11: Accounting for Your Business with Business Central 185 Getting to Know the Interface 188 Making Your Way Around the Home Screen 189 Setting Up the Books 191 Adding accounts to the chart of accounts 192 Defining G/L account categories 194 Specifying bank accounts 196 Entering Sales Quotes 198 Creating Sales Orders and Invoices 200 Creating Sales Credit Memos 202 Maintaining Customers 204 Maintaining Vendors 207 Chapter 12: Setting Up Business Central for Optimal Results 211 Migrating from Dynamics NAV to Business Central 213 Navigating in Business Central 215 Searching for screens and reports 215 Navigating by menu 218 Feeling at home in your Role Center 220 Setting Up Business Central 223 Working with manual setup 225 Setting up number series (sequence numbers) 227 Defining number series relationships 229 Managing users and permissions 230 Setting up inventory 233 Part 4: Finance and Operations Erp (Formerly Dynamics Ax) 237 Chapter 13: Going Beyond Crunching Numbers with Financial Management 239 Getting a Bird’s-Eye View of D365O Capabilities 242 Raising the Flag on Microsoft’s Flagship ERP 243 Learning How to Get Around in D365O 246 Navigating with tiles 249 Setting user preferences 250 Harnessing the Power of Financial Dimensions 252 Chapter 14: Becoming a Smooth Operator with Operations 259 Changing Companies 260 Navigating by Module 261 Taking Advantage of Keyboard Shortcuts 263 Taking a Deeper Dive into D365O Capabilities by Module 264 Mastering Master Data in D365O 268 Surveying the vendor record 268 Surveying the customer record 271 Surveying the inventory item (released product) record 273 Using the More Options button 276 Working with List Pages 278 Exporting List Pages to Excel Spreadsheets 281 Chapter 15: Looking Under the Hood (Understanding the D365O Technology) 283 Upgrading from Dynamics AX to Dynamics 365 for Finance and Operations 284 Migrating customizations from over-layering to extensions 285 Rewriting integrations created with AIF 286 Tapping into technology for integrations and data conversions 287 Using a comprehensive design document and a right-sized project plan 289 Personalizing the User Interface 290 Configuring the Global Address Book 297 Creating additional address books 299 Setting global address book default values 299 Creating new party records 300 Transforming Your HR Department with Talent 304 Filing Expense Reports with Expense Management 306 Part 5: The Part of Tens 309 Chapter 16: The Ten Most Exciting Capabilities of Dynamics 365 311 Supercomprehensive Coverage 311 Scalability with Azure 314 Mobile Computing 315 Localization Features 316 Employee Self-Service 318 Common Data Model 321 Team Member License 323 General Data Protection Regulation 323 Unified Interface 324 Categorized and Relevance Search 325 Chapter 17: Ten Dynamic 365 Myths to Dispel 327 Myth 1: Investing in ERP Doesn’t Pay 327 Myth 2: Our ERP Is Too Entrenched 330 Myth 3: ERP Is Too Complex for the Cloud 332 Myth 4: Integrations Are Not Worth It — Just Rekey the Data 333 Myth 5: Software as a Service Is More Expensive than On-Premise 334 Myth 6: The Cloud Is Not Secure Enough for ERP 335 Myth 7: What If the Internet Goes Down 337 Myth 8: I’ll Lose My Data in the Cloud 337 Myth 9: You Won’t Have Control of Your Data 338 Myth 10: Cloud Apps Are Not Customizable 339 Index 341

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Book SynopsisTable of ContentsPart 1 Geotechnical Engineering Fundamentals 1 Geology and geotechnical engineering 2 Site investigation 3 Groundwater 4 Soil laboratory testing 5 Geotechnical engineering theoretical concepts Part 2 Shallow Foundations 6 Shallow foundation fundamentals 7 Bearing capacity – rules of thumb 8 Bearing capacity computation (general equation for cohesive and noncohesive soils) 9 Elastic settlement of shallow foundations 10 Foundation reinforcement design 11 Grillage design 12 Footings subjected to bending moment 13 Geogrids 14 Tie beams and grade beams 15 Drainage for shallow foundations 16 Selection of foundation type 17 Consolidation settlement of foundations 18 Secondary compression 19 Seismic design of shallow foundations Part 3 Earth Retaining Structures 20 Earth retaining structures 21 Gravity walls: sand backfill 22 Cantilever walls 23 Gabion walls 24 Reinforced earth walls 25 Structural design of retaining walls Part 4 Geotechnical Engineering Strategies 26 Geotechnical engineering software 27 Geotechnical instrumentation 28 Unbraced excavations 29 Braced excavations 30 Raft design 31 Rock mechanics and foundation design in rock 32 Dip angle and strike 33 Rock bolts, dowels, and cable bolts 34 Soil anchors 35 Tunnel design 36 Geosynthetics in geotechnical engineering 37 Slurry cutoff walls 38 Earthwork 39 Mass-haul diagrams Part 5 Pile Foundations 40 Pile foundations 41 Pile design in sandy soils 42 Pile design in clay soils 43 Pile installation and verification 44 Design of pin piles – semiempirical approach 45 Neutral plane concept and negative skin friction 46 Design of caissons 47 Design of pile groups Subject Index

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Book SynopsisYour easy-to-follow guide to the world's leading cloud-based CRM software Salesforce gives your business an edge in tracking relationships and managing sales, marketing, customer service, and support operations. Salesforce For Dummies help you take advantage of key platform functionality and focus on making the most of its many features. Learn best practices to determine the right configuration to suit your business needs, and how to use apps, build widgets, and configure features to personalize your system for your business. Explore prospecting for leads, managing accounts, maintaining contacts, tracking products, calculating forecasts, and monitoring each customer's service and support interactions with your business. Collaborate with colleagues by sharing information across a 360-degree view of all customer interactions, enhance your online marketing, gain real-time visibility into sales, and close deals faster. Get started with configuring Salesforce an

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Book SynopsisEffective, repeatable, and insightful analytics are key to ROI in customer relationship management systems. This practical introduction covers all the aspects and features you need to be successful with Salesforce reports and dashboards.

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Book SynopsisTrade Review"In their second edition of Research Methods: Information, Systems and Contexts, Williamson and Johanson (2018) have tackled these tensions well, both in their inclusive approach to the book as well as by introducing diverse contexts while keeping to the deep and the oretical roots of the discipline. ...Research Methods is a substantial review and critique of research methods in the discipline, accompanied by useful and interesting reflections." --Library and Information Science Research "The book that you are about to read provides a fresh perspective on research in information science. There is something for everyone here – whether you are new to research in the discipline, or whether you are a seasoned scholar looking for new and inspiring ideas." --Professor Lisa Given. Associate Dean, Research and Development, Faculty of Health, Arts and Design, Swinburne University of Technology and President, Association for Information Science and Technology (ASIS&T), 2018. "It is not easy to find anything that addresses both qualitative and quantitative paradigms in library and information studies in detail. Williamson and Johanson’s book thoroughly satisfies these criteria, and is an engaging discussion of fundamental concepts, as well as of the wider research landscape. ...Each chapter has its own extensive references which is more helpful than a single end-of-the-book reference list because it clusters and contextualises the publications. Chapters stand alone as well as contributing to the whole; the book can be dipped into as well as read more comprehensively." -Information Research "Research Methods is a substantial review and critique of research methods in the discipline, accompanied by useful and interesting reflections. The attention to theory as well as the practical toolkits, resources and cases make the text accessible and relevant to researchers and practitioners at different stages in their research careers." -Information ResearchTable of ContentsSection I Foundations and Framing 1. Research concepts 2. The fundamentals of research planning 3. Information research: Patterns and practice 4. Archival and recordkeeping research: Past, present and future 5. The methodological landscape: Information systems and knowledge management Section II Research Methods 6. Survey designs 7. Case study research in information systems 8. Action research: Theory and practice 9. Constructivist grounded theory: A 21st century research methodology 10. Bibliometric research 11. Design-science research 12. Researching history 13. Ethnographic research 14. Experimental research Section III Research Techniques 15. Populations and samples 16. Questionnaires, individual interviews and focus group interviews 17. Observation 18. Quantitative data analysis 19. Qualitative data analysis Section IV Research Practice and Communication 20. Ethical research practices 21. Managing research data 22. Research writing and dissemination Section V Information Research: Reflections on Past and Future 23. The future of information research

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Book SynopsisTable of ContentsPart I: Introduction 1. The Database Environment 2. Systems Analysis and Database Requirements Part II: Relational database design theory 3. Why Good Design Matters 4. Entities and Relationships 5. The Relational Data Model 6. Relational Algebra 7. Normalization 8. Database Design and Performance Tuning 9. Codd’s Rules for Relational DBMSs Part III: Relational database design practice 10. Introduction to SQL 11. Using SQL to Implement a Relational Design 12. Using CASE Tools for Database Design 13. Database Design Case Study #1: Mighty-Mite Motors 14. Database Design Case Study #2: East Coast Aquarium 15. Database Design Case Study #3: SmartMart Part IV: Using interactive SQL to manipulate a relational database 16. Simple SQL Retrieval 17. Retrieving Data from More Than One Table 18. Advanced Retrieval Operations 19. Working With Groups of Rows 20. Data Modification 21. Creating Additional Structural Elements Part V: Database implementation issues 22. Concurrency Control 23. Database Security 24. Data Warehousing 25. Data Quality Part VI: Beyond the relational data model 26. XML Support 27. Object-Relational Databases 28. Relational Databases and “Big Data”: The Alternative of a NoSQL Solution Part VII: Appendices A. Historical Antecedents B. SQL Programming C. SQL Syntax Summary

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Book SynopsisThis streamlined intro to Microsoft Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations.

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Book SynopsisIn the second edition of this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle.

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Book SynopsisWhat happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards. How do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you. https://www.functionalaestheticsbook.comTable of ContentsAcknowledgments ix About the Authors xi About the Technical Editor xii Foreword by Pat Hanrahan xiii Introduction xv Part A: Perception 1 Chapter 1: The Science Behind Perception 3 Seeing and Understanding Imagery 3 Color Cognition 6 Saccade and Directed Attention 10 The Notion of Space and Spatial Cognition 11 Diagramming the World 13 Summary 20 Chapter 2: Perception in Charts 21 Visualization and Task 23 Chart as an Informational Unit 24 Unboxing Functional Aesthetics in the Physical World 27 Recursive Proportions 28 The Digitized Space: Creating Experiences on the Screen 31 Summary 34 Chapter 3: Charts in Use 35 The First Charts 36 Standardizing Visualization 40 The Shifting Role of Data Visualization 43 Maturity within the Profession 49 Summary 56 Part B: Semantics 57 Chapter 4: Coming to Terms 59 Statistical Graphics Are Inherently Abstract 60 Flattening the Curve 63 Toward Meaningful Depictions 65 Situating with Semiotics 68 Summary 69 Chapter 5: Vagueness and Ambiguity 71 How Tall Is Tall? 71 Spicy or Hot—What’s the Difference? 76 Clarification, Repair, and Refinement 78 Iconicity of Representation 80 The Art of Chart 82 Summary 85 Chapter 6: Data Literacy 87 Navigating Data Literacy 89 The Impact of Writing 90 Data Orality 92 Changing Exposition Styles 96 Data Literacy Democratization 97 Summary 99 Chapter 7: Data Preparation 101 Hairy Dates 102 Common Transformations 103 Clarity in Conversation 107 Shaping for Intent 109 Prepping for the Future 110 Data Enrichment 113 Summary 115 Chapter 8: Scaling It Down 117 Generalization 118 Natural Sizes 119 Fat Fingers and Small Screens 120 Color as a Function of Size 123 Thumbnails and Visual Summaries 124 Summary 128 Chapter 9: Cohesive Data Messages 129 Cohesion in Designing Visualizations 131 Analytical Conversation 144 Summary 152 Chapter 10: Text and Charts 153 Medium Being the Message 154 Types of Text 155 Balancing Text with Charts 161 Chart and Text Agreement 163 Text in Analytical Conversation 166 Making Data More Accessible 168 Text for Supporting Reading Fluency 170 Summary 171 Part C: Intent 173 Chapter 11: Defining and Framing 175 Analytical Intent 176 Register 178 Repair and Refinement 179 Pragmatics 181 Practicing Intent 182 Summary 185 Chapter 12: Visual Communication 187 Do What I Mean, Not What I Say 189 Register in Charts 192 Registers in Composition 194 Mood and Metaphor 197 Beyond Language Communication 197 Expansion and Contraction 200 Summary 201 Chapter 13: Scaffolds 203 Visualization Scaffolding 206 Scaffolding Data Discovery 210 Scaffolding Natural Language Recommendations 213 Analytical Conversation to Repair and Refine 217 Summary 221 Chapter 14: Balancing Emphasis 223 Individual Choices 224 Collective Choices 225 Correcting Common Problems 228 View Snapping 232 Summary 238 Chapter 15: Mode 239 Navigate Like a Local 241 Revisiting Analytical Chatbots 247 Video Killed the Radio Star 249 Beyond the Desktop 251 Future Forward 255 Summary 257 Part D: Putting It All Together 259 Chapter 16: Bringing Everything Together 261 Addressing the Paper Towel Problem 263 Crafting Recipes for Functional Aesthetics 267 Summary 286 Chapter 17: Close 287 Data in Everything and Everywhere 288 New Tools and New Experiences 295 Sign-off 297 Technical Glossary 299 Index 305

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

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Book SynopsisIt''s a jungle out there.Delivering software solutions with predictable costs, time, scope, and quality has become more complicated than ever. Developers need to account for multiple moving targets, including often avoided but always relevant factors such as culture, people, and leadership. To effectively deal with these challenges, it''s necessary to rethink the entire delivery chain of modern software development. This book addresses all these topics, putting everything in perspective, from the potential awkwardness created by cultural differences to connecting code with business outcomes to make delivering quality solutions possible. As a software engineer who strives to be his best and challenge the status quo when building IT systems, author Tengiz Tutisani always wanted a book that would cover all of these elements from a developer''s perspective - so he wrote one.  Effective Software DTable of ContentsChapter 1: IntroductionChapter Goal: Give users the overview of current challenges in software development; prepare mindset to develop better software and learn how to. No of pages 11 Sub -Topics 0. History Behind Inefficient Monoliths 1. Why People Avoid Building Effective Software 2. Software Development Perfectionism As A State Of Mind 3. Six Pillars Of Effective Software Chapter 2: Crosscutting ConcernsChapter Goal: Overview of software development-related but non-technical challenges, such as leadership, forming organizations, etc. The goal is broaden the readers’ view and understand that software development cannot succeed in silo – it needs support from outside as well. No of pages: 36 Sub - Topics 0. Execution, Leadership, Management 1. Organizational Structure 2. Processes, Ongoing Efforts, Teams 3. Culture 4. Recruitment Chapter 3: From Customer Insights To InternalRequirementsChapter Goal: Connecting the dots between customers’ expectations and the requirements that the software engineers fulfill; This chapter will enhance the readers with external view to the requirements – the business value behind deliveries No of pages: 35 Sub - Topics: 0. Understanding Customers' Needs 1. Organization's Response To Customers' Needs 2. Requirements And Story Writing 3. Planning Work 4. Carrying Out Work Chapter 4: Design and Architecture Chapter Goal: Architecture knowledge and work related to building effective software solutions; Learn how architecture supports all other aspects of software delivery process No of pages: 61 Sub - Topics: 1. Architecture As A Crosscutting Concern 2. Architecture In Analysis And Requirements Gathering 3. Architecture Body Of Knowledge 4. Architecture And Implementation 5. Architecture For Testable Systems 6. Architecture For Deployable Systems 7. Architecture For Maintainable Systems Chapter 5: Implementation and Coding Chapter Goal: Dive deep into the implementation side of things; not much code here but instead connecting the coding activities back to the architecture’s guardrails, and forward with quality engineering No of pages: 52 Sub - Topics: 1. Crosscutting Concerns Related To Coding 2. Designing Code 3. Implementing Code 4. Testing Code 5. Code Deployment And Maintenance Chapter 6: Testing and Quality Assurance Chapter Goal: Often overlooked but a vital aspect of software delivery – quality assurance is discussed in this topic; how to optimize value by combining the architecture and development with testing, and apply the best of these worlds for quality software delivery – that is what the readers will learn No of pages: 30 Sub - Topics: 1. Testing Processes And Principles 2. Test Design And Architecture 3. Implementing Automated Tests 4. Enhancing Deployments With Test Automation Chapter 7: Deployment Chapter Goal: How to effectively deploy modern, effective software solutions? How these questions impact architecture, development, or other phases? We will find out in this chapter. No of pages: 8 Sub - Topics: 1. Culture Of Releases 2. CI/CD - Deployment Foundation 3. Building Deployment-Ready Applications Chapter 7: Maintenance and Support Chapter Goal: Maintenance seems to be on the other side of the fence from the development. This chapter will help the readers connect it back to development for decreasing costs and eliminating the need for dedicated production support teams. No of pages: 5 Sub - Topics: 1. Maintenance-Free Mindset 2. Maintenance-Aware Mindset

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Book SynopsisWhether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model.

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Book SynopsisThis concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.

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Book SynopsisYour team is stressed; priorities are unclear. You're not sure what your teammates are working on, and management isn't helping. If your team is struggling with any of these symptoms, these four case studies will guide you to project success. See how Kanban was used to significantly improve time to market and to create a shared focus across marketing, IT, and operations. Each case study comes with illustrations of the Kanban board and diagrams and graphs to help you see behind the scenes. Learn a Lean approach by seeing how Kanban made a difference in four real-world situations. You'll explore how four different teams used Kanban to make paradigm-changing improvements in software development. These teams were struggling with overwork, unclear priorities, and lack of direction. As you discover what worked for them, you'll understand how to make significant changes in real situations.The four case studies in this book explain how to: * Improve the full value chain by using Enterprise Kanban * Boost engagement, teamwork, and flow in change management and operations * Save a derailing project with Kanban * Help an office team outside IT keep up with growth using Kanban What seems easy in theory can become tangled in practice. Discover why "improving IT" can make you miss your biggest improvement opportunities, and why you should focus on fixing quality and front-end operations before IT. Discover how to keep long-term focus and improve across department borders while dealing with everyday challenges. Find out what happened when using Kanban to find better ways to do work in a well-established company, including running multi-team development without a project office. You'll inspire your team and engage management to make it easier to develop better products. What You Need: This is a case study book, so there are no software requirements. The book covers the relevant bits of theory before presenting the case studies.

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Book SynopsisLearn to code like a professional with Python – an open source, versatile, and powerful programming language Key Features Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Book DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. What you will learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper Who this book is forPython is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with.Table of ContentsTable of Contents Introduction and first steps – Take a deep breath Built-in data types Iterating and making decisions Functions, the building blocks of code Saving time and memory Advanced Concepts - OOP, Decorators, Iterators Testing, Profiling and dealing with Exceptions The edges: GUIs and Scripts Data Science Web Development done right Debugging and troubleshooting Summing up: a complete example

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Book SynopsisArchitect scalable, reliable, and maintainable applications for enterprises with PythonKey Features Explore various Python design patterns used for enterprise software development Apply best practices for testing and performance optimization to build stable applications Learn about different attacking strategies used on enterprise applications and how to avoid them Book DescriptionDynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable.The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques.By the end of the book, you will have become proficient at building efficient enterprise applications in Python.What you will learn Understand the purpose of design patterns and their impact on application lifecycle Build applications that can handle large amounts of data-intensive operations Uncover advanced concurrency techniques and discover how to handle a large number of requests in production Optimize frontends to improve the client-side experience of your application Effective testing and performance profiling techniques to detect issues in applications early in the development cycle Build applications with a focus on security Implement large applications as microservices to improve scalability Who this book is forIf you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.Table of ContentsTable of Contents Using Python for Enterprise Design Patterns: Making a Choice Building for Large Scale Database Operations Dealing with Concurrency Building for Large Scale Request Handling Example: Building BugZot Building Optimized Frontends Writing Testable Code Profiling Applications for Performance Securing Your Application Taking the Microservices Approach Testing and Tracing in Microservices Going Serverless Deploying to the Cloud Enterprise Application Integration and its Patterns Microservices and Enterprise Application Integration

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Book SynopsisTable of ContentsForeword Maggie Jackson 1. Transparent Interaction and Human-Robot Collaboration for Military Operations Shan G. Lakhmani, Julia L. Wright, Jessie Y.C. Chen 2. On the Social Perception of Robots: Measurement, Moderation, and Implications Steven J. Stroessner 3. Robotics to Support Aging in Place George Mois, Jenay M. Beer 4. Kill Switch: The Evolution of Road Rage in an Increasingly AI Car Culture Julie Carpenter 5. Development and Current State of Robotic Surgery Rana Pullatt, Benjamin L. White 6. Regulating Safety-Critical Autonomous Systems: Past, Present, and Future Perspectives M.L. Cummings, David Britton 7. The Role of Consumer Robots in our Everyday Lives Heather C. Lum 8. Principles of Evacuation Robots Alan R. Wagner 9. Humans Interacting with Intelligent Machines: At the Crossroads of Symbiotic Teamwork Michael D. McNeese, Nathaniel J. McNeese

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Book SynopsisTable of Contents1. Introduction2. Providing Structure to Unstructured Data3. Identification, Deidentification, and Reidentification4. Metadata, Semantics, and Triples5. Classifications and Ontologies6. Introspection7. Data Integration and Software Interoperability8. Immutability and Immortality9. Assessing the Adequacy of a Big Data Resource10. Measurement11. Indispensable Tips for Fast and Simple Big Data Analysis12. Finding the Clues in Large Collections of Data13. Using Random Numbers to Bring Your Big Data Analytic Problems Down to Size14. Special Considerations in Big Data Analysis15. Big Data Failures and How to Avoid (Some of) Them16. Legalities17. Data Sharing18. Data Reanalysis: Much More Important than Analysis19. Repurposing Big Data

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Book SynopsisTable of Contents1. Nonlinear Equations 2. Simultaneous Linear Algebraic Equations 3. Finite Difference Methods and Interpolation 4. Differentiation and Integration 5. Ordinary Differential Equations: Initial Value Problems 6. Ordinary Differential Equations: Boundary Value Problems 7. Partial Differential Equations 8. Linear and Nonlinear Regression Analysis

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Book SynopsisTable of ContentsSection I: Data-centric and intelligent systems in air quality monitoring, assessment and mitigation 1. Application of deep learning and machine learning in air quality modelling 2. Case study of air quality prediction by deep learning and machine learning 3. Considerations of particle dispersion modelling with data-centric and intelligent systems 4. Data-centric modelling of air filters, HVAC and other industrial air quality control systems 5. A review of recent developments and applications of data-centric systems in air quality monitoring, assessment and mitigation Section 2: Data-centric and intelligent systems in water quality monitoring, assessment and mitigation 6. Application of deep learning and machine learning methods in water quality modelling and prediction 7. Case studies of surface water, groundwater and rainwater quality prediction by data-centric and intelligent systems 8. Application of deep learning and machine learning methods in contaminant hydrology 9. Deep learning and machine learning methods in emerging contaminants and micro-pollutants research 10. A review of recent developments and applications of data-centric systems in water quality monitoring, assessment and mitigation Section 3: Data-centric and intelligent systems inland pollution research 11. Application of deep learning and machine learning methods in flow modelling of landfill leachate 12. Case studies of evaluations and analysis of solid waste management techniques by deep learning and machine learning methods 13. Application of deep learning and machine learning methods in soil quality assessment and remediation 14. Establishing a nexus between non-biodegradable waste and data-centric systems 15. A review of recent developments and applications of data-centric systems inland pollution research Section 4: Data-centric and intelligent systems in noise pollution research 16. Methods development for data-centric systems in noise pollution research 17. Case studies of data-centric systems in noise pollution research 18. A review of recent developments and applications of data-centric systems in noise pollution research

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Book SynopsisEnterprise Level Security 2: Advanced Topics in an Uncertain World follows on from the authorsâ first book on Enterprise Level Security (ELS), which covered the basic concepts of ELS and the discoveries made during the first eight years of its development. This book follows on from this to give a discussion of advanced topics and solutions, derived from 16 years of research, pilots, and operational trials in putting an enterprise system together. The chapters cover specific advanced topics derived from painful mistakes and numerous revisions of processes. This book covers many of the topics omitted from the first book including multi-factor authentication, cloud key management, enterprise change management, entity veracity, homomorphic computing, device management, mobile ad hoc, big data, mediation, and several other topics. The ELS model of enterprise security is endorsed by the Secretary of the Air Force for Air Force computing systems and isTable of ContentsChapter 1. The First 16 Years. 1.1 The Beginning of Enterprise Level Security (ELS). 1.2 Design Principles. 1.3 Key Concepts. 1.4 Implementation. Chapter 2. A Brief Review of the Initial Book. 2.1 Security Principles. 2.2 ELS Framework. Chapter 3. Minimal Requirements for the Advanced Topics. 3.1 Needed Capabilities. 3.2 Creating an Attribute Store. 3.3 Registering a Service. 3.4 Computing Claims. 3.5 User Convenience Services. 3.6 The Enterprise Attribute Ecosystem. 3.7 Summary. Identity and Access Advanced Topics. Chapter 4. Identity Claims in High Assurance. 4.1 Who Are You?. 4.2 Entity Vetting. 4.3 Naming. 4.4 Key and Credential Generation. 4.5 Key and Credential Access Control. 4.6 Key and Credential Management. 4.7 Key and Credential Uses. 4.8 Some Other Considerations. Chapter 5. Cloud Key Management. 5.1 Clouds. 5.2 ELS in a Private Cloud. 5.3 The Public Cloud Challenge. 5.4 Potential Hybrid Cloud Solutions. 5.5 Proposed Secure Solutions. 5.6 Implementation. 5.7 Cloud Key Management Summary. Chapter 6. Enhanced Assurance Needs. 6.1 Enhanced Identity Issues. 6.2 Scale of Identity Assurance. 6.3 Implementing the Identity Assurance Requirement. 6.4 Additional Requirements. 6.5 Enhanced Assurance Summary. Chapter 7. Temporary Certificates. 7.1 Users That Do Not Have a PIV.. 7.2 Non-PIV STS/CA-Issued Certificate. 7.3 Required Additional Elements. 7.4 Precluding the Use of Temporary Certificates. 7.5 Temporary Certificate Summary. Chapter 8. Derived Certificates on Mobile Devices. 8.1 Derived Credentials. 8.2 Authentication with the Derived Credential. 8.3 Encryption with the Derived Credential. 8.4 Security Considerations. 8.5 Certificate Management. Chapter 9. Veracity and Counter Claims. 9.1 The Insider Threat. 9.2 Integrity, Reputation, and Veracity. 9.3 Measuring Veracity. 9.4 Creating a Model & Counter-Claims. 9.5 Veracity and Counter-Claims Summary. Chapter 10. Delegation of Access and Privilege. 10.1 Access and Privilege. 10.2 Delegation Principles. 10.3 ELS Delegation. 10.4 Delegation Summary. Chapter 11. Escalation of Privilege. 11.1 Context for Escalation. 11.2 Access and Privilege Escalation. 11.3 Planning for Escalation. 11.4 Invoking Escalation. 11.5 Escalation Implementation within ELS. 11.6 Accountability. 11.7 Escalation Summary. Chapter 12. Federation. 12.1 Federation Technical Considerations. 12.2 Federation Trust Considerations. 12.3 Federation Conclusions. ELS Extensions – Content Management. Chapter 13. Content Object Uniqueness for Forensics. 13.1 Exfiltration in Complex Systems. 13.2 Product Identifiers. 13.3 Hidden Messages. 13.4 Content Management. 13.5 Content Object Summary. Chapter 14. Homomorphic Encryption. 14.1 Full Homomorphic Encryption (FHE) 14.2 Partial Homomorphic Encryption (PHE) 14.3 PHE Performance Evaluation. 14.4 Homomorphic Encryption Conclusions. ELS Extensions – Data Aggregation. Chapter 15. Access and Privilege in Big Data Analysis. 15.1 Big Data Access. 15.2 Big Data Related Work. 15.3 Big Data with ELS. 15.4 Big Data Summary. Chapter 16. Data Mediation 16.1 Maintaining Security with Data Mediation. 16.2 The Mediation Issue. 16.3 Approaches. 16.4 Choosing a Solution. 16.5 Mediation Summary. ELS Extensions – Mobile Devices. Chapter 17. Mobile Ad Hoc 17.1 Mobile Ad Hoc Implementations. 17.2 Network Service Descriptions. 17.3 Other Considerations. 17.4 Mobile Ad Hoc Summary. Chapter 18. Endpoint Device Management 18.1 Endpoint Device Choices. 18.2 Endpoint Device Management ELS Extensions – Other Topics. Chapter 19. Endpoint Agent Architecture 19.1 Agent Architecture. 19.2 Related Work. 19.3 ELS Agent Methods. 19.4 Endpoint Agent Results. 19.5 Endpoint Agent Conclusions. 19.6 Endpoint Agent Extensions. Chapter 20. Ports and Protocols 20.1 Introduction. 20.2 Communication Models. 20.3 Ports in Transport Protocols. 20.4 Threats Considered. 20.5 Assigning Ports and Protocols. 20.6 Server Configurations. 20.7 Firewalls and Port Blocking. 20.8 Application Firewalls. 20.9 Network Firewalls in ELS. 20.10 Endpoint Protection in ELS. 20.11 Handling and Inspection of Traffic. 20.12 Additional Security Hardening. Chapter 21. Asynchronous Messaging 21.1 Why Asynchronous Messaging?. 21.2 Prior Work. 21.3 Asynchronous Messaging Security. 21.4 PSS Rock and Jewel 21.5 Summary. Chapter 22. Virtual Application Data Center 22.1 Introduction. 22.2 Enterprise Level Security and VADC Concepts. 22.3 VADC Implementation. 22.4 Resource Utilization. 22.5 Distributed Benefits and Challenges. 22.6 Virtual Application Conclusions. Chapter 23. Managing System Changes 23.1 System Change. 23.2 Current Approaches. 23.3 The Vision. 23.4 Realizing the Vision. 23.5 Moving into the Future. 23.6 Managing Information Technology Changes. Chapter 24. Concluding Remarks 24.1 Staying Secure in an Uncertain World. 24.2 The Model is Important 24.3 Zero Trust Architecture. 24.4 Computing Efficiencies. 24.5 Current Full ELS System.. 24.6 Future Directions. References and Bibliography. Acronyms. Index.

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Book SynopsisTable of ContentsSection 1: General properties of NO/metabolites in human diseasesSection 2: Development of novel NO donors/inhibitors and NO complexes: properties, cell signaling, synergy Section 3: Pharmacokinetics of NO donors/inhibitors in animal models and toxicities Section 4: Red-Ox signaling and modification of proteins. Characterization of their modified functions Section 5: Therapeutic applications of NO donors/inhibitors in non-cancer related human diseases Section 6: Therapeutic applications of NO donors/inhibitors in various cancersConcluding remarks and future perspectives

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Book SynopsisFind meaning in your business data. Build, manage, and secure calculation views and table functions with the SAP Web IDE for SAP HANA. See how SAP Web IDE, SAP HANA Live, and SAP S/4HANA embedded analytics all interact to create effective data models. Explore advanced modeling concepts compatible with SAP HANA 2.0.Table of Contents1) SAP HANA 2.0, 2) Data Modelling, 3) SAP Web IDE, 4) Information views, 5) Calculation views, 6) Table functions, 7) Model management, 8) Model migration, 9) SAP HANA Live, 10) SAP S/4HANA embedded analytics, 11) Security and authorizations

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Book Synopsis

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Book Synopsis

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Book SynopsisUnderstand the basics of Ansible and its core concepts. Create custom inventories and execute your first playbook. Create intuitive and reusable user-friendly Ansible roles. Learn to automate your repetitive tasks using Ansible. Implement Ansible for DevOps and security practices.

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Book SynopsisIf you’re developing server-side JavaScript applications, you need Node.js! Start with the basics of the Node.js environment: installation, application structure, and modules. Then follow detailed code examples to learn about web development using frameworks like Express and Nest.js.

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Book SynopsisStep into ABAP with this guide. First understand ABAP syntax and find out how to add data and logic to your applications. Then learn to work with the ABAP data dictionary, create database objects, and process and store data. Round out your skill set by practicing error handling, modularization, string manipulation, and more.

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Book SynopsisBPM specialists Christine McKinty and Antoine Mottier show you step-by-step how to turn a simple business procedure into an automated, process-based application. Using hands-on examples, you'll quickly learn how to create an online process that's easy to use. Each chapter builds on earlier material.

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Book SynopsisThis book is written by testers for testers. In ten chapters, the authors provide answers to key questions in agile projects. They deal with cultural change processes for agile testing, with questions regarding the approach and organization of software testing, with the use of methods, techniques and tools, especially test automation, and with the redefined role of the tester in agile projects. The first chapter describes the cultural change brought about by agile development. In the second chapter, which addresses agile process models such as Scrum and Kanban, the authors focus on the role of quality assurance in agile development projects. The third chapter deals with the agile test organization and the positioning of testing in an agile team. Chapter 4 discusses the question of whether an agile tester should be a generalist or a specialist. In Chapter 5, the authors turn to the methods and techniques of agile testing, emphasizing the differences from traditional, phase-oriented testing. In Chapter 6, they describe which documents testers still need to create in an agile project. Next, Chapter 7 explains the efficient use of test automation, which is particularly important in agile development, as it is the main instrument for project acceleration and is necessary to support state-of-the-art DevOps approaches and Continuous Integration. Chapter 8 then adds examples from test tool practice extending test automation to include test management functionality. Chapter 9 is dedicated to training and its importance, emphasizing the role of employee training in getting started with agile development. Finally, Chapter 10 summarizes the results of the agile journey in general with a special focus on testing. To make the aspects described even more tangible, the specific topics of this book are accompanied by the description of experiences from concrete software development projects of various organizations. The examples demonstrate that different approaches can lead to solutions that meet the specific challenges of agile projects.Table of Contents1. Agile: A Cultural Change.- 2. Agile Process Models and Their View on Quality Assurance.- 3. Organization of the Software Test in Agile Projects.- 4. Role of Testers in Agile Projects.- 5. Agile Test Management, Methods, and Techniques.- 6. Agile Testing Documentation.- 7. Agile Test Automation.- 8. Use of Tools in Agile Projects.- 9. Education and Its Importance.- 10. Retrospective.

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Book SynopsisTable of ContentsIntroduction xxvii Chapter 1 • Stages of an Implementation Overview 1 What Is Microsoft Dynamics? 1 The Client Journey 2 Implementation Methodologies 5 Waterfall and Sure Step 5 Agile and Scrum 7 Triple Constraints 8 The Bottom Line 9 Chapter 2 • What to Do Before You Begin a Project 11 Identify Your Project Team and Stakeholders 11 Executive Sponsor 12 Project Owner 12 Business Process Owner(s) 13 Project Manager 13 Core Team and a Core Team Lead 14 Subject Matter Experts 14 IT Resources 15 Time Commitment by Role 17 Identify Your Processes in Scope 18 Clean Up Your Data 19 Identify Your “Master” Data 19 Develop Naming Conventions 20 Identify System Owners 20 Find and Resolve Duplicates and Incorrect Data 20 Define Your Success Metrics 21 Possible Benefits 22 Building Your Business Case and Securing Funding 23 How Much Should an ERP Project Cost? 24 Costs to Include in Your Calculations 24 Capitalizing Costs 25 Contingency 27 Return on Investment (ROI) 27 Gaining Approval 28 The Bottom Line 29 Chapter 3 • Four Keys to Consider When Buying an ERP or CRM Solution 31 Selection Process 31 Selection Consultant 32 Decision Maker 33 The Four Keys 33 Fit 34 Platform 35 Implementer 39 Cost 41 Building Your Scorecard 44 The Bottom Line 45 Chapter 4 • How to Evaluate and Buy Business Application Software 47 Buying Process Steps 47 Qualification Stage 48 Discovery and Demonstration Stage 49 Selecting Your Vendor 51 Leadership or Board Approval 54 Moving Forward 54 The Bottom Line 54 Chapter 5 • Organizing Your Team for Success and Project Governance 57 RACI 57 Your Project Team 58 Your Partner’s Implementation Team 59 Executive Sponsor 60 Engagement Manager 60 Project Manager 60 Solution Architect or Solution Delivery Manager 60 Functional Consultant or Consultants 61 Technical Consultant 61 Development Lead and Developers 61 Integration Architect 61 Data Migration Specialist 62 Project Governance 62 Project Communication 62 Resource Loading 62 Project Schedule 66 Document Repository 67 Budget Tracking 68 Change Requests 68 Project Management Plan 68 The Bottom Line 69 Chapter 6 • Sprints and Tools Needed to Run Your Project 73 Definition of a Sprint 73 Length of a Sprint 74 Start and End of a Sprint 74 Delivering Value in a Sprint 74 Backlog 75 Project Backlog 75 Sprint Backlog 76 Allocating Work to Team Members 76 Sprint Success Rate 76 Sprint Meetings 77 Sprint Planning 77 Sprint Review 77 Sprint Retrospective 78 Stand-up Meetings 78 Work Definitions 79 Epic 79 Feature 79 User Story 80 Requirement 80 Research Task 80 Design Task 80 Development Task 81 Test Task 81 Other Task 81 Test Case 81 Test 81 Bug (Defect) 81 Risk 81 Issue 82 Change Request 82 Code and Changesets 82 Azure DevOps 82 DevOps Fields 82 Progress Reporting 83 Analytical Views 83 The Bottom Line 84 Chapter 7 • Change Management Throughout Your Project 87 Success Criteria 88 Use of Satisfaction Surveys 89 Nine Steps to Change Management 90 Leadership Alignment 90 Organization Evaluation 91 Outline Your Business Process Change Steps 92 Develop a System Vision that Provides Benefits to All Stakeholders 92 Communicate Effectively 92 Maximize the Team’s Time in the New System 94 Train Effectively 94 Set Realistic Expectations for the System Just After Go-Live 94 Support Your Team Members After Go-Live 95 Steps to Business Process Change 95 Importance of Adoption 96 The Bottom Line 96 Chapter 8 • Organizing Your Business by Processes 99 Common Language Businesses Speak 99 Operations 100 Sales 100 Finance and Administration 100 Standard Processes 100 Process Hierarchy 102 Process Category 102 Process Group 103 Process 103 Sub-processes, Tasks, Activities, and Requirements 104 Discovering Your Processes 104 SIPOC 104 Core Team Members 106 Rounding Out Your Scope 106 The Bottom Line 106 Chapter 9 • Independent Software Vendors—Filling Gaps and Managing Partnerships 109 The Purpose of ISVs 109 Hosting Providers 110 Private Hosting 111 SaaS-Style Hosting 111 Industry ISVs 111 Deciding If You Need an Industry ISV 112 Functional ISVs 113 Missing Functionality 113 Advanced Features 113 Missing Connector 113 Automation 114 Reporting Extensions 114 Deciding If You Need a Functional ISV 114 Working with ISVs 114 Budgeting for ISV Solutions 115 Implementation Partner or Customer Managed 115 Buying the ISV License or Subscription 115 Implementation of ISV Products 116 Manage Your ISV Projects Closely 116 Microsoft’s AppSource Marketplace 117 Product Listing 118 Services Listing 118 The Bottom Line 119 Chapter 10 • Factors for a Successful Project Kickoff 121 Pre-Kickoff Meeting Activities 121 Checklist 121 Expectations for the Meeting 124 Outing 124 Kickoff Meeting Content 124 Executive Overview 125 Introductions and Role Review 125 Expectations for Team Members 126 Project Management and Communication Plan 126 Project Schedule 126 Resources 126 Navigation Overview [Optional] 127 Wrapping Up 127 Executive Message 127 Expectations for the Project Team 128 Time Commitment 128 Decision-Making 129 Power of Positivity 129 The Bottom Line 130 Chapter 11 • Designing the Software Collaboratively 133 Joint Application Design Concept 133 Joint Process Design and Other Design-Related Definitions 134 What Is a Joint Process Design (JPD) Session? 134 Happy Path 136 “As-Is” vs “To Be” 136 Joint Process Design Iterations 137 JPD1 137 JPD2 139 JPD3 140 JPD4 140 Keys to Successful JPDs 140 JPD Output 141 SIPOC 142 The Bottom Line 143 Chapter 12 • Requirements Gathering and Staying “In the Box” 145 Staying in the Box 145 Customization vs In-the-Box Examples 146 Requirements 147 Out-of-the-Box Fields as Requirements 147 Requirements Link to Processes 148 Functional vs Non-functional Requirements 149 Verifying Requirements 150 Writing Good Requirements 150 Requirements Tips 150 Fit/Gap Analysis 151 Fit/Gap Spreadsheet 152 Trade-Offs 153 The Cost of Customizations 154 Cloud vs On-Premise Software 155 The Bottom Line 155 Chapter 13 • Conference Room Pilots 157 The Purpose of a Conference Room Pilot 157 How to Organize CRPs 158 Common Elements of CRPs 159 CRP Agenda 159 Logistics 160 Issues and Questions 160 CRP Roles and Responsibilities 161 Session Leader 161 Helper/Expert 162 Business Process Owner 162 Users/Students 162 Who Not to Invite 163 CRP Place in the Overall Schedule 163 Can You Do a CRP on One Process Group at the Same Time That You Do a JPD? 164 Entrance Criteria 164 CRP vs UAT 166 How They Are Similar 166 How They Are Different 166 What to Do Between CRP and the End of the Create Stage 167 CRP Goals 168 The Bottom Line 168 Chapter 14 • Dealing with Challenges Mid-Project 171 Managing the Project Status 172 Status Report 172 Colors on a Status Report 173 Managing Your Budget 175 Project Pulse 177 Risks and Issues 177 Risk Register 178 Issues vs Bugs 179 Common Project Challenges 179 The Bottom Line 183 Chapter 15 • Customizations vs Configurations and How You Manage Them 185 Customizations vs Configurations 185 Customization 185 Configuration 186 Integration 186 Master Data 187 Metadata 187 Personalization 187 Reference Data 187 When to Customize vs Configure 188 Why Choose to Customize 188 Tracking Configurations 188 Configuration Tracker 189 Gold Environment 189 Lifecycle Services 189 Functional Design Documents 190 Overview 190 Modification 190 Testing 190 Development Quotation 191 Revision and Sign-off 191 Updates 191 Design Complete 191 The Development Process 192 Develop the Solution 192 Unit Test 192 Code Review 193 Functional Testing (Part 1) 193 Finishing Up 194 After Code Complete 194 Deploying the Code 194 Functional Testing (Part 2) 194 Preparing for CRP and UAT 195 The Lifecycle of a Customization 195 Managing These Tasks 195 Wrap-Up 196 The Bottom Line 197 Chapter 16 • Data Migration—Early and Often 199 Data Migration Plan 200 Proactive Cleaning 200 Before the Kickoff 201 Data Migration Tool 202 Iterations 203 Extract 206 Finding the Data 206 Extraction Tools 206 Transform 208 Mapping the Data 208 Mapping Tools 208 Transforming Mapped Data 209 Load 210 Order of Operation 210 Load Time 210 Validating the Data 210 Technical Validation 211 Business Validation 211 Functional Validation 212 Go-Live Iteration 212 The Bottom Line 213 Chapter 17 • Environment Management and Deployments 215 Types of Environments 216 Developer Environments 216 Build 217 Test 217 Sandbox 218 Production 219 Environment Plan 220 Types of Releases 220 Frequency of Code Moves 222 Populating Configurations and Master Data 222 Deploying Code 223 Application Lifecycle Management 223 Environment Flow Using DevOps 224 Rollback 224 Security 225 Definitions 225 How Best to Manage 226 The Bottom Line 227 Chapter 18 • Testing 229 Definitions 229 Types of Testing 230 Common Testing Terms 231 Pre-Deploy Stage Activities 232 Testing Strategy 232 Unit Test and Regression Tests 233 Developing Test Cases 234 UAT Entrance Criteria 235 UAT Exit Criteria 236 UAT Sessions 236 Purpose 236 Additional Benefits of UAT Sessions 237 UAT Roles and Responsibilities 237 Executing Your Test Plans 238 Tips for the Sessions 239 Post UAT Testing 240 Issues List 241 Process Sign-Offs 241 Scenario Recaps 241 The Bottom Line 242 Chapter 19 • Training for All 245 Learning During Interactive Sessions 246 JPDs 246 CRPs 246 UAT 247 Learning Modalities 247 In-Person, Classroom Style 248 Remote, Synchronous Training 249 Asynchronous 251 Building Your Training Content 251 End User Training Content 251 Product Help Content 252 Microsoft Learn 253 Recording Sessions 253 Task Recorder 253 How Much to Document 254 How to Manage and Distribute Your Content 254 Learning Management Systems 255 Building Your End User Training Schedule 255 Pre-Training Learning 256 Train the Trainer 256 Synchronous Sessions 257 Advanced Concepts 257 Testing Users’ Knowledge 257 Office Hours 258 The Bottom Line 259 Chapter 20 • Going Live 261 Go-Live Criteria 261 Cutover Plan 262 Bug Criteria 262 Data Migration and Security Criteria 263 Support Readiness 264 Training Review 264 Communication Plan 265 Go-Live Scorecard 265 Mock Cutover and Final Week Activities 266 Disaster Recovery 267 System Setup Before Cutover 267 Go/No-Go Meetings 268 When to Have It 268 Voting Criteria 268 Meeting Agenda 269 Order and Outcome of the Votes 269 Next Steps 270 Live Cutover 270 Impact of the Cutover Start Timing 271 Completing Cutover Activities 271 Rollback Plan 272 Acknowledge the Team 272 The Bottom Line 272 Chapter 21 • Hypercare 275 Go-Live Support 275 Day 1 276 Week 1 276 Project Change Champions 277 Prioritizing Issues 277 Weeks 2–4 278 First Month End 278 Duration of Hypercare 279 Role of HelpDesk 279 Sample SLA 280 Project Team Support 280 Support Levels 281 Refer Users to Training 283 Making the Transition to HelpDesk Later 283 Post Go-Live Releases 284 Planning for Future Releases 285 Hotfix Release 285 Scheduled Releases 286 Project Team Transition 287 Rolling Off the Project Team 287 Documentation 288 Expectations of Support 288 After the Transition 289 The Bottom Line 289 Chapter 22 • Support and Enhance Your Project 291 Support After Hypercare 291 Extending the Transition from Consulting to Support 292 Engaging Your Partner for Support 292 Microsoft and ISV Support Plans 294 After Action Review 295 Who to Invite 295 How to Run the Meeting 296 What to Do with the Feedback 297 Ongoing Releases 297 Microsoft Dynamics 365 Release Cadence 297 Release Testing 297 When to Schedule Your Releases 298 What to Include in Releases 299 Future Enhancements 299 New Functionality 299 Usability 300 Guardrails 301 Business Intelligence 301 Incorporating Dynamics Data into Your Daily Business 302 Integrations 302 Machine Learning and Artificial Intelligence 302 Calculating Return on Investment 303 ROI Checkpoints 304 The Bottom Line 305 Chapter 23 • Bringing It All Together 307 Align Stage 307 Define Stage 308 Create Stage 311 Deploy Stage 313 Empower Stage 314 Additional Resources 315 The Bottom Line 315 Appendix • The Bottom Line 317 Chapter 1: Stages of an Implementation Overview 317 Chapter 2: What to Do Before You Begin a Project 318 Chapter 3: Four Keys to Consider When Buying an ERP or CRM Solution 320 Chapter 4: How to Evaluate and Buy Business Application Software 322 Chapter 5: Organizing Your Team for Success and Project Governance 323 Chapter 6: Sprints and Tools Needed to Run Your Project 325 Chapter 7: Change Management Throughout Your Project 326 Chapter 8: Organizing Your Business by Processes 328 Chapter 9: Independent Software Vendors—Filling Gaps and Managing Partnerships 329 Chapter 10: Factors for a Successful Project Kickoff 331 Chapter 11: Designing the Software Collaboratively 332 Chapter 12: Requirements Gathering and Staying “In the Box” 334 Chapter 13: Conference Room Pilots 335 Chapter 14: Dealing with Challenges Mid-Project 337 Chapter 15: Customizations vs Configurations and How You Manage Them 338 Chapter 16: Data Migration—Early and Often 340 Chapter 17: Environment Management and Deployments 341 Chapter 18: Testing 343 Chapter 19: Training for All 344 Chapter 20: Going Live 346 Chapter 21: Hypercare 347 Chapter 22: Support and Enhance Your Project 349 Chapter 23: Bringing It All Together 350 Glossary 353 Index 369

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