Enterprise software Books

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 SynopsisWith this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside.

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Book SynopsisThe Underground Culinary Tour is a high-octane, behind-the-scenes narrative about how the restaurant industry, historically run by gut and intuition, is being transformed by the use of data.   Sixteen years ago, entrepreneur Damian Mogavero brought together an unlikely mix of experts—chefs and code writers—to create a pioneering software company whose goal was to empower restaurateurs, through the use of data, to elevate and enhance the guest experience. Today, his data gathering programs are used by such renown chefs as Danny Meyer, Tom Colicchio, Daniel Boulud, Guy Fieri, Giada De Laurentiis, Gordon Ramsay, and countless others.   Mogavero describes such restaurateurs as the New Guard, and their approach to their art and craft is radically different from that of their predecessors. By embracing data and adapting to the new trends of today’s demanding consumers, these innovative chefs and owners do every

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Book SynopsisPoorly performing enterprise applications are the weakest links in a corporation''s management chain, causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of these models will help to discover and clarify unapparent connections and correlations among workloads, hardware architecture, and software parameters.Table of ContentsAcknowledgments ix Preface xi 1. Queuing Networks as Applications Models 1 1.1. Enterprise Applications—What Do They Have in Common? 1 1.2. Key Performance Indicator—Transaction Time 6 1.3. What Is Application Tuning and Sizing? 8 1.4. Queuing Models of Enterprise Application 9 1.5. Transaction Response Time and Transaction Profile 19 1.6. Network of Highways as an Analogy of the Queuing Model 22 Take Away from the Chapter 24 2. Building and Solving Application Models 25 2.1. Building Models 25 Hardware Specification 26 Model Topology 28 A Model’s Input Data 29 Model Calibration 31 2.2. Essentials of Queuing Networks Theory 34 2.3. Solving Models 39 2.4. Interpretation of Modeling Results 47 Hardware Utilization 47 Server Queue Length, Transaction Time, System Throughput 51 Take Away from the Chapter 54 3. Workload Characterization and Transaction Profiling 57 3.1. What Is Application Workload? 57 3.2. Workload Characterization 60 Transaction Rate and User Think Time 61 Think Time Model 65 Take Away from the Think Time Model 68 Workload Deviations 68 “Garbage in Garbage out” Models 68 Realistic Workload 69 Users’ Redistribution 72 Changing Number of Users 72 Transaction Rate Variation 75 Take Away from “Garbage in Garbage out” Models 78 Number of Application Users 78 User Concurrency Model 80 Take Away from User Concurrency Model 81 3.3. Business Process Analysis 81 3.4. Mining Transactional Data from Production Applications 88 Profiling Transactions Using Operating System Monitors and Utilities 88 Application Log Files 90 Transaction Monitors 91 Take Away from the Chapter 93 4. Servers CPUs and Other Building Blocks of Application Scalability 94 4.1. Application Scalability 94 4.2. Bottleneck Identification 95 CPU Bottleneck 97 CPU Bottleneck Models 97 CPU Bottleneck Identification 97 Additional CPUs 100 Additional Servers 100 Faster CPUs 100 Take Away from the CPU Bottleneck Model 104 I/O Bottleneck 105 I/O Bottleneck Models 106 I/O Bottleneck Identification 106 Additional Disks 107 Faster Disks 108 Take Away from the I/O Bottleneck Model 111 Take Away from the Chapter 113 5. Operating System Overhead 114 5.1. Components of an Operating System 114 5.2. Operating System Overhead 118 System Time Models 122 Impact of System Overhead on Transaction Time 123 Impact of System Overhead on Hardware Utilization 124 Take Away from the Chapter 125 6. Software Bottlenecks 127 6.1. What Is a Software Bottleneck? 127 6.2. Memory Bottleneck 131 Memory Bottleneck Models 133 Preset Upper Memory Limit 133 Paging Effect 138 Take Away from the Memory Bottleneck Model 143 6.3. Thread Optimization 144 Thread Optimization Models 145 Thread Bottleneck Identification 145 Correlation Among Transaction Time, CPU Utilization, and the Number of Threads 148 Optimal Number of Threads 150 Take Away from Thread Optimization Model 151 6.4. Other Causes of Software Bottlenecks 152 Transaction Affinity 152 Connections to Database; User Sessions 152 Limited Wait Time and Limited Wait Space 154 Software Locks 155 Take Away from the Chapter 155 7. Performance and Capacity of Virtual Systems 157 7.1. What Is Virtualization? 157 7.2. Hardware Virtualization 160 Non-Virtualized Hosts 161 Virtualized Hosts 165 Queuing Theory Explains It All 167 Virtualized Hosts Sizing After Lesson Learned 169 7.3. Methodology of Virtual Machines Sizing 171 Take Away from the Chapter 172 8. Model-Based Application Sizing: Say Good-Bye to Guessing 173 8.1. Why Model-Based Sizing? 173 8.2. A Model’s Input Data 177 Workload and Expected Transaction Time 177 How to Obtain a Transaction Profile 179 Hardware Platform 182 8.3. Mapping a System into a Model 186 8.4. Model Deliverables and What-If Scenarios 188 Take Away from the Chapter 193 9. Modeling Different Application Configurations 194 9.1. Geographical Distribution of Users 194 Remote Office Models 196 Users’ Locations 196 Network Latency 197 Take Away from Remote Office Models 198 9.2. Accounting for the Time on End-User Computers 198 9.3. Remote Terminal Services 200 9.4. Cross-Platform Modeling 201 9.5. Load Balancing and Server Farms 203 9.6. Transaction Parallel Processing Models 205 Concurrent Transaction Processing by a Few Servers 205 Concurrent Transaction Processing by the Same Server 209 Take Away from Transaction Parallel Processing Models 213 Take Away from the Chapter 214 Glossary 215 References 220 Index 223

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Book SynopsisThe complete step-by-step guide to mastering the basics of Aspen Plus software Used for a wide variety of important scientific tasks, Aspen Plus software is a modeling tool used for conceptual design, optimization, and performance monitoring of chemical processes. After more than twenty years, it remains one of the most popular and powerful chemical engineering programs used both industrially and academically. Teach Yourself the Basics of Aspen Plus, Second Edition continues to deliver important fundamentals on using Aspen Plus software. The new edition focuses on the newest version of Aspen Plus and covers the newest functionalities. Lecture-style chapters set the tone for maximizing the learning experience by presenting material in a manner that emulates an actual workshop classroom environment. Important points are emphasized through encouragement of hands-on learning techniques that direct learners toward achievement in creating effective designs fluiTable of ContentsPREFACE TO THE SECOND EDITION xiii PREFACE TO THE FIRST EDITION xv ACKNOWLEDGMENTS xix ABOUT THE COMPANION WEBSITE xxi 1 INTRODUCTION TO ASPEN PLUS 1 1.1 Basic Ideas / 1 1.2 Starting Aspen Plus / 4 1.3 The Next Function / 6 1.4 The Navigation Pane / 6 1.5 The Property Environment / 8 1.6 Properties for Simulation / 11 1.7 The Simulation Environment / 13 1.8 Simulation Options / 13 1.9 Units / 14 1.10 Streams / 15 1.11 Blocks / 16 1.12 The Object Manager / 17 1.13 Model Execution / 17 1.14 Viewing Results / 18 1.15 Plotting Results / 20 References / 20 2 PROPERTIES 21 2.1 Introduction / 21 2.2 The Pure Component Databanks / 22 2.3 Property Analysis / 25 2.4 Property Estimation / 29 2.5 Workshops / 32 2.6 Workshop Notes / 33 References / 34 3 THE SIMPLE BLOCKS 35 3.1 Introduction / 35 3.2 Mixer/Splitter Blocks / 35 3.3 The Simple Separator Blocks / 37 3.4 Some Manipulator Blocks / 40 3.5 Workshops / 43 3.6 Workshop Notes / 44 4 PROCESSES WITH RECYCLE 47 4.1 Introduction / 47 4.2 Blocks with Recycle / 48 4.3 Heuristics / 51 4.4 Workshops / 51 4.5 Workshop Notes / 55 References / 56 5 FLOWSHEETING AND MODEL ANALYSIS TOOLS 57 5.1 Introduction / 57 5.2 Introduction to Fortran in Aspen Plus / 58 5.3 Basic Interpreted Fortran Capabilities / 58 5.4 The Sensitivity Function / 61 5.5 The Design Specification / 63 5.6 The Calculator Function / 65 5.7 The Transfer Function / 68 5.8 Workshops / 69 5.9 Workshop Notes / 71 References / 71 6 THE DATA REGRESSION SYSTEM (DRS) 73 6.1 Introduction / 73 6.2 Parameters of Equations of State / 74 6.3 Parameters of Activity Coefficient Equations / 76 6.4 Basic Ideas of Regression / 78 6.5 The Mathematics of Regression / 80 6.6 Practical Aspects of Regression of VLE or LLE Data / 82 6.7 VLE and LLE Data Sources / 90 6.8 Workshops / 93 6.9 Workshop Notes / 95 References / 96 7 FLASHES AND DECANTER 99 7.1 Introduction / 99 7.2 The Flash2 Block / 99 7.3 The Flash3 Block / 104 7.4 The Decanter Block / 105 7.5 Workshops / 107 7.6 Workshop Notes / 108 References / 109 8 PRESSURE CHANGERS 111 8.1 Introduction / 111 8.2 The Pump Block / 111 8.3 The Compr Block / 112 8.4 The MCompr Block / 113 8.5 Pipelines and Fittings / 114 8.6 Workshops / 115 8.7 Workshop Notes / 116 References / 116 9 HEAT EXCHANGERS 117 9.1 Introduction / 117 9.2 The Heater Block / 118 9.3 The Heatx Block / 122 9.4 The Mheatx Block / 126 9.5 Workshops / 127 9.6 Workshop Notes / 128 References / 129 10 REACTORS 131 10.1 Introduction / 131 10.2 The RStoic Block / 132 10.3 The RYield Block / 133 10.4 The REquil Block / 135 10.5 The RGibbs Block / 136 10.6 Reactions for the Rigorous Models / 138 10.7 The RCSTR Block / 143 10.8 The RPlug Block / 143 10.9 The RBatch Block / 145 10.10 Workshops / 148 10.11 Workshop Notes / 150 References / 151 11 MULTISTAGE EQUILIBRIUM SEPARATORS 153 11.1 Introduction / 153 11.2 The Basic Equations / 153 11.3 The Design Problem / 156 11.4 A Three-Product Distillation Example / 160 11.5 Preliminary Design and Rating Models / 162 11.6 Rigorous Models / 165 11.7 BatchSep / 174 11.8 Workshops / 178 11.9 Workshop Notes / 179 References / 181 12 PROCESS FLOWSHEET DEVELOPMENT 183 12.1 Introduction / 183 12.2 Heuristics / 184 12.3 An Example –The Production of Styrene / 184 12.4 A Model with Basic Blocks / 185 12.5 Properties / 185 12.6 Rigorous Flash and Decanter / 187 12.7 Analyzing the Rigorous Distillation / 188 12.8 Integrating the Rigorous Distillation into the Flowsheet / 189 12.9 The Reactor Feed / 192 12.10 Miscellaneous Considerations / 192 12.11 Workshops / 192 12.12 Workshop Notes / 195 Reference / 196 13 OPTIMIZATION 197 13.1 Introduction / 197 13.2 An Optimization Example / 198 13.3 Workshops / 202 13.4 Workshop Notes / 203 References / 205 14 COMPLEX EQUILIBRIUM STAGE SEPARATIONS 207 14.1 Introduction / 207 14.2 Energy Integration Applications / 208 14.3 Homogeneous Azeotropic Distillation / 210 14.4 Extractive Distillation / 211 14.5 Heterogeneous Operations / 214 14.6 Workshops / 215 14.7 Workshop Notes / 217 References / 219 15 EQUATION-ORIENTED SIMULATION 221 15.1 Introduction / 221 15.2 Identification of Variables / 222 15.3 Equations for EO Simulation / 223 15.4 Solving the EO Equations / 225 15.5 Comparing Calculated Variables in SM and EO Simulation / 227 15.6 Synchronization of the Equations / 228 15.7 The Equation Oriented Menu / 229 15.8 Solution of an EO Problem / 230 15.9 Reinitialization / 232 15.10 A Design Specification / 233 15.11 An SM Problem That is Difficult to Converge / 234 15.12 Sensitivity Analysis / 235 15.13 Equation-Oriented Optimization / 235 15.14 Workshops / 238 15.15 Workshop Notes / 241 References / 241 16 ELECTROLYTES 243 16.1 Introduction / 243 16.2 Electrolyte Solution Equilibria / 243 16.3 Electrolyte Solution Equilibria and the Electrolyte Wizard / 244 16.4 Electrolyte Equilibrium/Phase Equilibrium Examples / 248 References / 250 17 BEYOND THE BASICS OF ASPEN PLUS 251 INDEX 253

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Book SynopsisStop typing and get more done with Dragon Professional Individual voice recognition software Tired of typing, but afraid to take the leap into voice recognition software? No problem! Dragon Professional Individual For Dummies, 5th Edition gives you a great overview of the industry-leading speech recognition software so you can start talking instead of typing in no time at all. With this easy-to-use guide, you'll quickly find out how to use Professional Individual to open documents, write emails and notes, update your Facebook status, and much more. The book includes everything you need to get started, from launching the software and basic dictating to controlling your desktop by voice, and tips for improving accuracy. Available for both Windows and Mac, Dragon Professional Individual is the gold standard for home and professional voice recognition software. Easy to use and much more efficient than typing, the software can take your productivity to the next level. Get an introductTable of ContentsIntroduction 1 About This Book 1 Conventions Used in This Book 2 Foolish Assumptions 3 Icons Used in This Book 3 Beyond the Book 4 Where to Go from Here 4 Part I: Getting Started with Dragon Professional Individual 5 Chapter 1: Knowing What to Expect 7 Clarifying What Dragon Professional Individual Can Do for You 7 Figuring Out What Dragon Professional Individual Can’t Do 9 Selecting the Right Dragon Product 11 Expanding the use of speech recognition 11 The latest generation of the Dragon family 12 Understanding Speech Recognition in Dragon 14 What’s so hard about recognizing speech, anyway? 15 What’s a computer to do? 16 Onward to Customizing! 18 Chapter 2: Installing Dragon and Starting Basic Training 19 Installing Dragon Professional Individual on Your Computer 20 Creating a User Profile 25 Chapter 3: Launching and Controlling Dragon 33 Launching Dragon Professional Individual 33 Choosing or Switching User Profiles 34 Meeting the Face of Your Dragon Professional Individual Assistant 35 A closer look at the DragonBar 36 Choosing options 38 Why Use the Dragon Professional Individual DragonPad? 41 Using the word-processor features of the Dragon Professional Individual DragonPad 41 Choosing from the menu bar and toolbar 42 Editing: Cut, paste, and the usual suspects 43 Formatting: Fonts, indentations, alignments, bullets, and tabs 43 Saving and opening documents 44 Customizing the window 45 Tools and When to Use Them 46 Part II: Creating Documents and Spreadsheets 51 Chapter 4: Simply Dictating 53 Dictating 101: How to Dictate 54 Distinguishing between Text and Commands 56 Controlling Your (Cough! Sneeze!) Microphone 57 Tips for Talking 58 Punctuating and Capitalizing 59 Punctuating your remarks 59 Discovering Natural Punctuation 62 Capitalizing on your text 62 Taking Up Space 63 Controlling paragraph spacing 64 Controlling spaces and tabs 64 Entering Different Numbers and Dates 65 Making Quick Corrections 67 Scratching your bloopers 67 Resuming dictation with an earlier word 69 Correcting a Dragon Professional Individual error 69 Tackling Common Dictation Problems 70 Chapter 5: Selecting, Editing, and Correcting in DragonPad 73 Moving Around in a Document 74 Giving the cursor directions and distances 75 Going to the head of the line 76 Specifying a destination by quoting text 76 Editing by Voice 77 Selecting text 77 Deleting text 79 Sharp tongues: Cutting and pasting by voice 80 Just undo it 80 Fixing Dragon Professional Individual’s Mistakes 81 Correcting a Dragon Professional Individual recognition error 81 Casting a spell 83 Recurring errors 85 Playing back an error 85 Chapter 6: Basic Formatting in Text-Editing Applications 87 Knowing the Short Formatting Commands 87 Left, Right, and Center: Getting into Alignment 88 Using Bullets and Numbered Lists 90 Changing Font 91 Changing your style: Bold, italic, and underlined text 91 Changing font size 92 Changing font family 93 Changing everything at one time 94 Understanding Smart Formatting 95 Chapter 7: Proofreading and Listening to Your Text 97 Using Voice Commands for Playback 98 Proofreading and Correcting with Playback 99 Using the Text-to-Speech Feature 102 Chapter 8: Dictating into Other Applications 105 Finding Levels of Control 105 Getting Started 108 Dictating your first words 108 Turning the microphone on and off 110 Knowing which capabilities you have in any application 110 Creating Documents with the Dictation Box 111 Using the Dictation Box 112 Moving around in a document 112 Making corrections 113 Using Full Text Control Applications 113 Ordering from the Menu 114 Extending Posts to Facebook and Twitter 115 Chapter 9: Dipping into Word Processing 117 Saying the Right Thing 117 Creating, opening, and closing documents 118 Employing the “Playback” and “Read” commands 118 Natural Language Commands for Word 119 Understanding Natural Language Commands 119 Dictating text 120 Editing with familiar commands 121 Inserting 122 Printing 122 Setting up page margins 123 Natural Language Commands for formatting 123 Editing and formatting text 128 Checking spelling and grammar 129 Inserting tables 129 Adjusting and viewing windows within Word 130 Choosing OpenOffice.org Writer 131 Chapter 10: Working with Excel 133 Doing Excel-lent Works with Spreadsheets 133 Getting in the mode 134 Having a look around 135 Selecting cells 135 You can find the ICA names of the letters listed in Chapter 5 Filling you in 135 Using the cursor 136 Inputting and formatting data 137 Improving Your Vocal Functions 139 Chapter 11: Using Recorded Speech 141 Why Record? 141 Setting Up to Use a Portable Recorder 142 Figuring out your connection 143 Adding a dictation source to your current profile 144 Getting better sound quality from portable recorders 148 Recording Your Dictation 149 Transferring Files from a Digital Recorder 150 Transcribing Your Recording 151 Correcting Your Transcription 153 Transcribing Someone Else’s Voice Recording 155 Part III: Communicating Online 157 Chapter 12: Sending and Receiving Email 159 Creating and Managing Emails 159 Interacting with Microsoft Outlook 161 Using the three-panel email application window 162 Dictating messages 163 Getting your mail read to you 164 Keeping track of appointments 164 Listing new contacts 166 Making notes 167 Enhancing Email 168 Aggregating email accounts with Thunderbird 168 Choosing Gmail 169 Chapter 13: Working the Web 171 Browsing the Web 171 Getting started 172 Choosing Firefox or Chrome as your browser 172 Giving orders to Internet Explorer 173 Going Places on the Web 175 Linking from one web page to another 175 Dictating to the Address box 176 Using the Favorites menu 176 Pinning websites or pages to the Start menu 177 Moving around a Web Page 178 Entering information on a web page 178 Using shortcuts created for the web 179 Chapter 14: Dictating the Mobile Way 181 Dictating with Free Dragon Apps on Apple Mobile Devices 182 Discovering Dragon Dictation 182 Correcting what you say 188 Finding your way around with Dragon Search 189 Having Fun with Dragon Go! 190 Dictating with Android Devices 193 Swype for Android 193 Considering Dragon Anywhere 194 Part IV: Working Smarter 199 Chapter 15: Controlling Your Desktop and Windows by Voice 201 Ya Wanna Start Something? 202 Operating tips for Windows 8 202 Operating tips for Windows 10 203 Starting applications by voice 203 Using the Start menu in Windows 7 204 Does It Do Windows? 205 Listing all applications 205 Opening Computer and other folder windows 206 Giving orders to Windows Explorer 207 Switching from one application to another 209 Do Mice Understand English? 209 Telling your mouse where to go 210 Clicking right and left 213 Dragging until you drop 213 Dialoging with a Box 215 Moving the cursor around a dialog box 216 Dealing with dialog box features 216 Looking at a few of the most useful dialog boxes 219 Chapter 16: Speaking More Clearly 221 Do You Need to Speak Better? 222 How Do You Do It? 223 Shouldn’t Dragon Professional Individual Meet You Halfway? 225 Chapter 17: Additional Training for Accuracy 227 Using the Accuracy Center 227 Personalizing Your Vocabulary 228 Vocabulary editing 229 Adding a new word or phrase 229 Adding shortcuts in the Vocabulary Editor 232 Creating different ways to say the same thing 233 Import a list of words or phrases 234 Learning from specific documents 235 Adding words from somebody else’s documents 237 Learning from sent emails 238 Setting Options and Formatting 239 Opening the Options dialog box 239 Opening the Auto-Formatting dialog box 239 Adjusting Your Acoustics 241 Checking your microphone 241 Launching Accuracy Tuning 242 Reading text to train Dragon to your voice 243 Finding or Training Commands 243 Getting More Information 245 Chapter 18: Improving Audio Input 247 Figuring Out Whether You Have an Audio Input Problem 247 Running the microphone check 248 Checking your microphone 249 Getting a USB microphone 250 Playing your best card 250 Ensuring a Quiet Environment 253 Chapter 19: Having Multiple Computers or Users 255 Creating and Managing Users 256 One person, different users 256 Adding a new user 257 Adding an old user to a different computer 257 Transferring your User Profiles to a new computer 258 Managing User Files 260 Deleting a user 261 Backing up and restoring User Profiles 261 Chapter 20: Creating Your Own Commands 263 Creating Commands That Insert Text and Graphics 263 Creating a new command 264 Adding an auto text command 266 Creating commands for new applications 269 Introducing the Command Browser 270 Locating commands using the Keyword Filter 271 Cloning a command to create another 272 Inserting graphics into commands 274 Deleting commands 275 Chapter 21: Getting Help from Your Desktop and Online 277 Getting Help from the DragonBar 278 Getting Help from Nuance 280 Asking your first question on the Customer Service & Support portal 281 Talking to tech support on the phone 283 Searching the Nuance Knowledgebase 285 Dipping into Product Resources 287 Enhancing Community 288 Dragon Discussion Forum 289 Facebook 289 Twitter 290 LinkedIn 292 Nuance on YouTube 292 Part V: The Part of Tens 295 Chapter 22: Ten Common Problems 297 Dictating but Nothing Happens 297 Dealing with Incorrect Results 299 Speaking Commands That Get Typed as Text 299 Failing to Control Text with Full Text Control 300 Discovering That Dragon Professional Individual Inserts Extra Little Words 300 Dealing with Slow Dictation 301 Uncovering Menu Commands That Don’t Work 302 Tracking Down Natural Language Commands That Don’t Work 302 Ascertaining That Undo Doesn’t Undo 303 Realizing That Start Doesn’t Start 303 Chapter 23: Ten Time- and Sanity-Saving Tips 305 Using Hotkeys in Dialog Boxes 305 Positioning the Microphone the Same Way Every Time 306 Changing Your Mouse Habits 306 Drinking with a Straw 306 Turning Off Automatic Spell Checking in Word Processors 307 Working on Small Pieces of Large Documents 307 Using Dictation Shortcuts 307 Turning the Microphone Off When You Stop Dictating 308 Selecting or Correcting Longer Phrases 308 Using the Physical Mouse and Keyboard 308 Chapter 24: Ten Mistakes to Avoid 309 Running a Lot of Other Programs and Dragon Professional Individual Simultaneously 309 Telling Dragon Professional Individual to Shut Down the Computer 310 Correcting What You Ought to Edit 310 Editing What You Ought to Correct 310 Cutting Corners on Training 311 Forgetting to Run Microphone Check Again When the Environment Changes 311 Using Somebody Else’s Username 311 Speaking into the Backside of the Microphone 312 Creating Shortcuts or Macros That Sound Like Single Common Words 312 Forgetting to Proofread 312 Chapter 25: Ten Stupid Dragon Tricks 313 Dictating “Jabberwocky” 314 Dictating the Gettysburg Address 316 Dictating Shakespeare 317 Dictating Proverbs 318 Dictating Limericks 318 Dictating “Mairzy Doats” 319 Turning Dragon Professional Individual into an Oracle 319 Singing 319 Dictating in Foreign Languages 320 Using Playback to Say Silly or Embarrassing Things 320 Index 321

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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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Book SynopsisFrom technologist and strategist Brian Evergreen, a bold new agenda for the role of organizational leaders in creating a more human future with technology Social good initiatives are incompatible with the current network of systems that make up and support the private and public sectors. Millions of dollars have been invested in bringing leaders together from organizations around the world to design solutions for global challenges such as the climate crisis, child labor, racism, war, and many more. Despite executive buy-in, alignment of core capabilities and resources, passionate leadership, and well-designed strategies, these initiatives inevitably fail (with a few, notable exceptions). The dawn of the Internet ignited a global redesign and rebuild of the interlocking systems that make up and support the private and public sectors today. The era of Digital Transformation extended this further through the adoption of cloud technologies and distributed computing. With a recent wave of technological advancements, organizations have arrived at another global redesign and rebuilding of the network of systems that make up society: Autonomous Transformation, revealing an opportunity for leaders to create Profitable Good through systemic design in combination with emerging autonomous technologies and surprising and remarkable partnerships. Autonomous Transformation provides a blueprint for leaders and managers who have aspired or attempted to harness artificial intelligence and its adjacent technologies for the betterment of their organization and the world, weaving strategy, business, economics, systemic design, and philosophy into four actionable steps with accompanying frameworks: Clear the Digital FogSee the SystemsChoose a Problem FutureDesign InevitabilityTable of ContentsIntroduction: We Can Create a More Human Future Part One: The Fundamentals 1. Reformation, Transformation, and Creation: Defining Autonomous Transformation 2. What Does It Mean to Be Human in the Era of Artificial Intelligence? Part Two: The Art of the Impossible 3. Our Inheritance 4. Maintenance Mode Part Three: Envision Your Future 5. Requiem for the Industrial Revolution: Rehumanizing Work 6. The Problem with Solving Problems: Introducing Future Solving 7. Developing the Skill of Envisioning Part Four: Discover and Rediscover 8. Systemic Design and the Lost Art of Synthesis 9. The Organization as a Chessboard: Seeing the Pieces 10. The Organization as a System 11. A Broken System Part Five: Clear the Digital Fog 12. Chaos, Noise, and Epistemology in the Era of Artificial Intelligence 13. Silicon Valley, Wall Street, and the Factory Floor 14. The Multiplication of Expertise: A Leadership Imperative Part Six: Design for Inevitability 15. From Data-Driven to Reason-Driven 16. The Reformational Economics of Linear and Exponential Value 17. The Reformational Economics of Omission and Commission 18. The Ecosystem: Surprising and Remarkable Partnerships Part Seven: Create a More Human Future 19. Beyond Pilot Purgatory 20. Storytelling: Leading Social Systems 21. A More Human Organization Part Eight: Autonomous Transformation Technologies 22. Autonomous Transformation Technologies: A Leader’s Guide 23. A Deeper Dive into Artificial Intelligence Conclusion What Should You Read Next? Acknowledgments Index

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Book SynopsisDiscover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book's discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book offers: Clear and compelling descriptions of the concept of causality and how it can benefit your organization Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems Useful strategies for deciding when to use correlation-based approaches and when to use causal inference An enlightening and easTable of ContentsForeword xix Preface xxiii Introduction xxix Chapter 1 Setting the Stage for Causal AI 1 Why Causality Is a Game Changer 2 Causal AI in Perspective with Analytics 7 Analytical Sophistication Model 8 Analytics Enablers 10 Analytics 10 Advanced Analytics 11 Scope of Services to Support Causal AI 11 The Value of the Hybrid Team 13 The Promise of AI 14 Understanding the Core Concepts of Causal AI 15 Explainability and Bias Detection 15 Explainability 17 Detecting Bias in a Model 17 Directed Acyclic Graphs 18 Structural Causal Model 19 Observed and Unobserved Variables 20 Counterfactuals 21 Confounders 21 Colliders 22 Front- Door and Backdoor Paths 23 Correlation 24 Causal Libraries and Tools 25 Propensity Score 25 Augmented Intelligence and Causal AI 26 Summary 27 Note 27 Chapter 2 Understanding the Value of Causal AI 29 Defining Causal AI 30 The Origins of Causal AI 33 Why Causality? 34 Expressing Relationships 37 The Ladder of Causation 38 Rung 1: Association, or Passive Observation 40 Rung 2: Intervention, or Taking Action 40 Rung 3: Counterfactuals, or Imagining What If 42 Why Causal AI Is the Next Generation of AI 43 Deep Learning and Neural Networks 43 Neural Networks 44 Establishing Ground Truth 45 The Business Imperative of a Causal Model 46 The Importance of Augmented Intelligence 51 The Importance of Data, Visualization, and Frameworks 52 Getting the Appropriate Data 52 Applying Data and Model Visualization 55 Applying Frameworks After Creating a Model 56 Getting Started with Causal AI 57 Summary 58 Notes 59 Chapter 3 Elements of Causal AI 61 Conceptual Models 62 Correlation vs. Causal Models 63 Correlation- Based AI 63 Causal AI 63 Understanding the Relationship Between Correlation and Causality 64 Process Models 66 Correlation- Based AI Process Model 67 Causal- Based AI Process Model 69 Collaboration Between Business and Analytics Professionals 72 The Fundamental Building Blocks of Causal AI Models 75 The Relations Between DAGs and SCMs 76 Explaining DAGs 76 Causal Notation: The Language of DAGs 78 Operationalizing a DAG with an SCM 79 The Elements of Visual Modeling 81 Nodes 83 Variables 83 Endogenous and Exogenous Variables 83 Observed and Unobserved Variables 84 Paths/Relationships 84 Weights 86 Summary 88 Notes 89 Chapter 4 Creating Practical Causal AI Models and Systems 91 Understanding Complex Models 92 Causal Modeling Process: Part 1 94 Step 1: What Are the Intended Outcomes? 95 Step 2: What Are the Proposed Interventions? 97 Step 3: What Are the Confounding Factors? 99 Step 4: What Are the Factors Creating the Effects and Changes? 102 Common/Universal Effects in a Causal Model 102 Refined Effects in a Causal Model 103 Step 5: Creating a Directed Acyclic Graph 105 Step 6: Paths and Relationships 105 Types of Paths 106 Path Connecting an Unobserved Variable 107 Front- Door Paths 108 Backdoor Paths 108 Modeling for Simplicity to Understand Complexity 109 Step 7: Data Acquisition 110 Causal- Based Approach: Part 2 112 Step 8: Data Integration 113 Step 9: Model Modification 114 Step 10: Data Transformation 115 Step 11: Preparing for Deployment in Business 118 Summary 121 Notes 122 Chapter 5 Creating a Model with a Hybrid Team 125 The Hybrid Team 126 Why a Hybrid Team? 127 The Benefits of a Hybrid Team 128 Establishing the Hybrid Team as a Center of Excellence 129 How Teams Collaborate 131 But Why? 132 Defining Roles 134 Leaders and Business Strategists 137 Subject- Matter Experts 138 Data Experts 140 Software Developers 142 Business Process Analysts 143 Information Technology Expertise 143 Project Manager(s) 144 The Basics Steps for a Hybrid Team Project 145 An Overview of Model Creation 146 It Depends on Your Destination 150 Understanding the Root Cause of a Problem 151 Understanding What Happened and Why 153 The Importance of the Iterative Process 154 Summary 155 Chapter 6 Explainability, Bias Detection, and AI Responsibility in Causal AI 157 Explainability 158 The Ramifications of the Lack of Explainability 159 What Is Explainable AI in Causal AI Models? 161 Black Boxes 162 Internal Workings of Black-Box Models 162 Deep Learning at the Heart of Black Boxes 163 Is Code Understandable? 163 The Value of White-Box Models 166 Understanding Causal AI Code 167 Techniques for Achieving Explainability 169 Challenges of Complex Causal Models 169 Methods for Understanding and Explaining Complex Causal AI Models 171 The Importance of the SHAP Explainability Method 172 Detecting Bias and Ensuring Responsible AI 175 Bias in Causal AI Systems 176 Responsible AI: Trust and Fairness 178 How Causal AI Addresses Bias Detection 180 Tools for Assessing Fairness and Bias 182 The Human Factor in Bias Detection and Responsible AI 183 Summary 184 Note 184 Chapter 7 Tools, Practices, and Techniques to Enable Causal AI 185 The Causal AI Pipeline 187 Define Business Objectives 190 Model Development 193 Data Identification and Collection 195 Data Privacy, Governance, and Security 197 Synthetic Data 198 Model Validation 199 Deployment/Production 201 Monitor and Evaluate 203 Update and Iterate 205 Continuous Learning 208 The Importance of Synthetic Data 210 Why Create Synthetic Data? 210 Overcoming Data Limitations 211 Enhancing Data Privacy and Security 211 Model Validation and Testing 211 Expanding the Range of Possible Scenarios 212 Reducing the Cost of Data Collection 212 Improving Data Imbalance 213 Encouraging Collaboration and Openness 213 Streamlining Data Preprocessing 213 Supporting Counterfactual Analysis 213 Fostering Innovation and Experimentation 214 Creating Synthetic Data 214 Generative Models 214 Agent-Based Modeling 215 Data Augmentation 215 Data Synthesis Tools and Platforms 215 Conditional Synthetic Data Generation 216 Synthetic Data from Text 216 The Limitations of Synthetic Data 217 Current State of Tools and Software in Causal AI 218 The Role of Open Source in Causal AI 218 Commercial Causal AI Software 221 CausaLens 221 Geminos Software 223 Summary 223 Chapter 8 Causal AI in Action 225 Enterprise Marketing in a Business- to- Consumer Scenario 226 DDCo Marketing Causal Model: Annual Pricing Review and Update Cycle 228 Incorporating Internal and External Factors in the Model and DAG 230 Easily Enabling Iterating 231 End-User-Driven Exploration 232 Bench Testing 234 DDCo Marketing Causal Model: Semiannual Product Planning Cycle 236 Always Consider Model Reuse 237 Give and Take in Building a New Model 239 Typical Model and Process Operation: Iterating 239 Keeping the Process/Model Scope Manageable and Understandable 240 Moving from Strategy to Building and Implementing Causal AI Solutions 241 Agriculture: Enhancing Crop Yield 242 Key Causal Variables 244 Creating the DAG 246 Moving from the DAG to Implementing the Causal AI Model 247 Commercial Real Estate: Valuing Warehouse Space 250 Key Causal Variables 251 Implementing the Causal AI Model 253 Video Streaming: Enhancing Content Recommendations 254 Key Causal Variables 255 Implementing the Causal AI Model 256 Healthcare: Reducing Infant Mortality 258 Key Causal Variables 259 Implementing the Causal AI Model 261 Retail: Providing Executives Actionable Information 263 Key Causal Variables 264 Implementing the Causal Model 265 Summary 267 Chapter 9 The Future of Causal AI 271 Where We Stand Today 271 Foundations of Causal AI 273 The Causal AI Journey 274 Causal AI Today 274 What’s Next for Causal AI 276 Integrating Causal AI and Traditional AI 278 The Imperative for Managing Data 279 Ensembles of Data 279 Generative AI Is Emerging as a Game Changer for Causal AI 281 The Future of Causal Discovery 282 The Emergence of Causal AI Reinforcement Learning Will Accelerate Model Training 284 Causal AI as a Common Language Between Business Leaders and Data Scientists 284 The Emergence of Probabilistic Programming Languages 286 The Predictable Model Evolution Cycle 286 The Emergence of the Digital Twin 287 Improving the Ability to Understand Ground Truth 289 The Development of More Sophisticated DAGs 289 Visualizing Complex Relationships in the DAGs 290 The Merging of Causal and Traditional AI Models 291 The Future of Explainability 291 The Evolution of Responsible AI 292 Advances in Data Security and Privacy 293 Integration Will Be Between Models and Business Applications 294 Summary 295 Glossary 299 Appendix 313 Selected Resources 329 Acknowledgments 331 About the authors 335 About the contributor 339 Index 341

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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 SynopsisDiscover what needs to happen in enterprise-architecture practice-and not just its outcomes, but also the activities from which those outcomes would arise. This book reveals how business and enterprise architects can deliver fast solutions to an always-on-the-go business world.To begin, you''ll review a new technique called context-space mapping, which provides a structured method for sense-making across the entire context of an enterprise. Throughout the book, you''ll concentrate on the routine practices that underpin each of the architecture disciplines. Working step-by-step through a real 10-day architecture project, this book explores the activities that underpin the strategy, structures and solutions in the real-time turmoil of an enterprise architect''s everyday work. You''ll explore how and why and when the various documents, artefacts and items of ''theory-stuff'' come into the practice - all those mainstream methods, frameworkTable of Contents Chapter 1: Introduction Chapter Goal: Describe the purpose of the book, how to use it, and what the various elements are No of pages 4 Sub -Topics 1. Main project: How to use architecture ideas and activities to describe what actually happens in a real enterprise-architecture project, and the business-reasons and business-value for each of those activities 2. Secondary project: Worked-example 3. Application: How to adapt each chapter’s content to our own work Chapter 2: Day 1: Get Started Chapter Goal: Show how to get started on a project, and summarise how the allocated ten days will be used No of pages 16 Sub -Topics 1 Do an initial assessment 2 Show how to use the project-diary and other tools 3 Show how to do an initial assessment 4 Show how to apply any ‘lessons-learned’ in our own projects Chapter 3: Day 2: Purpose, scope and context Chapter Goal: Set up and start the main and secondary projects No of pages: 16 Sub - Topics 1 Introduce the main project as exploring ‘the architecture of architecture’ 2 Show how to use the step-by-step action-task sequence 3 Introduce the secondary project: customer-breakdown at a bank 4 Show how to use the same step-by-step-step sequence for the bank content Chapter 4: Day 3: What’s going on? Chapter Goal: Learn how to do an architecture-assessment No of pages : 18 Sub - Topics: 1 Explore how to do a ‘to-be’ (futures) assessment 2 Explore how to do an ‘as-was’ (past) assessment 3 Explore how to identify issues that need to be addressed 4 Learn how to cope with the challenges and stresses of the work Chapter 5: Day 4: What do we want? Chapter Goal: Learn how to establish a baseline No of pages: 12 Sub - Topics: 1 Explore how to do an ‘as-is’ (present) assessment 2 How to do social-enquiry with stakeholders 3 How to tackle the politics of architecture 4 Architecture as decision-support for stakeholders, not decision-making Chapter 6: Day 5: What’s the difference? Chapter Goal: How to identify gaps where change is needed No of pages 14 Sub -Topics 1 Identify and build the skillsets needed for comparison-assessments 2 How to do comparisons to identify gaps (including hidden-gaps) 3 How to prioritise gaps and derive requirements 4 How and why to avoid the temptation to rush to ‘solutions’ Chapter 7: Day 6: How do we get from here to there? Chapter Goal: Guiding the transition to solution-design No of pages 10 Sub -Topics 1 How to identify the roles and specialisms needed for solution-design 2 How to identify, work with and hand over to the change-team 3 How to refine and simplify change-requirements 4 Politics reminder: architecture is decision-support, not decision-making Chapter 8: Day 7: Step-by-step details Chapter Goal: Learn the relative roles and relations between architecture and design No of pages 12 Sub -Topics 1 Role of architect as generalist, to connect specialists together 2 How to develop and use sense-making skills 3 Role of architect to assist in finding missing-detail 4 How to identify common missing-detail (system-failure, timescale, decommission) Chapter 9: Day 8: Putting it into practice Chapter Goal: What to do when the stakeholders themselves are the solutions No of pages 14 Sub -Topics 1 How to design a change-programme for stakeholders 2 How to deliver and guide a change-programme for stakeholders 3 How to guide stakeholders in sensemaking and decision-making 4 Introduce sense-making tools such as context-space mapping Chapter 10: Day 9: What did we achieve? Chapter Goal: How to do and use an after-action review No of pages 12 Sub -Topics 1 Purpose and value of an after-action review 2 Elements of an after-action review 3 How to do and document an after-action review 4 How to derive new change-tasks from an after-action review Chapter 11: Day 10: How To Review and Learn Chapter Goal: How to review and learn from our own projects No of pages 10 Sub -Topics 1 Reprise on how to do and assess an after-action review 2 How to derive our own insights from work done with others 3 How to apply and test those insights for our own architecture-practice 4 How to derive and enact change-tasks for our own continuous-improvement Appendix 1: The architecture information-stores Chapter Goal: How to capture, retrieve and reuse architectural information No of pages 6 Sub -Topics 1 Identify types, roles and uses of architecture-information 2 Identify how and why to store each type of architectural information 3 Identify how to retrieve and reuse each type of architectural information 4 Identify how and when to delete architectural information Appendix 2: More on context-space mapping Chapter Goal: Present context-space mapping as a sensemaking tool for architecture No of pages 18 Sub -Topics 1 Describe purpose and underlying principles for context-space mapping 2 Explore how context-space mapping works as a sensemaking method 3 Provide detailed worked-examples of context-space mapping 4 Show outcomes and value of context-space mapping in sensemaking Appendix 3: Resources Chapter Goal: Provide additional support for the practices in this book No of pages 2 Sub -Topics 1 Example books and other publications 2 Websites and other online resources

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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 SynopsisWith this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly and lead people toward the vision.

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Book SynopsisThis practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable.

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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 SynopsisWith more than 60 practical recipes, this cookbook helps you solve these issues with Knativethe first serverless platform natively designed for Kubernetes. Each recipe contains detailed examples and exercises, along with a discussion of how and why it works.

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Book SynopsisMost data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.

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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 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 SynopsisDevelopers, your guide to ABAP for SAP S/4HANA is here. Master the end-to-end development process for SAP S/4HANA applications using the new ABAP programming model. Build applications from scratch, or use SAP Fiori elements to get a head start! Then, deploy your applications to the SAP Fiori launchpad and get the best practices you need to operate applications post-development, including Git version control, application tests, and setting up an integration pipeline. a. Getting Started - Get the development foundation you need and master SAP S/4HANA architecture, SAP Fiori, design-led development strategies, and the new ABAP programming model. b. End-to-End Development - Use step-by-step instructions to develop in SAP S/4HANA using Core Data Services, SAP Gateway, OData, Service Adaptation Description Language, and BOPF. Create list reports and object pages, overview pages, analytical list pages, freestyle applications, and more. c. Operating Applications - Once your applications are deTable of Contents Preface Purpose of This Book Target Audience Structure of This Book Acknowledgments SAP S/4HANA and SAP Fiori SAP S/4HANA Architecture Core Architecture Backend User Experience SAP S/4HANA Editions SAP Cloud Platform Summary SAP Fiori and the Design-Led Development Process What Is SAP Fiori? Design-Led Development Process Different SAP Fiori App Types Prototyping Tools Summary ABAP Programing Model for SAP Fiori Core Data Services SAP Gateway OData Service Adaptation Description Language Business Object Processing Framework SAP Fiori Summary Developing Applications for SAP S/4HANA Developing an SAP Fiori Elements List Report and Object Page Core Data Services Views Transactional Processing with the Business Object Processing Framework Virtual Elements in Core Data Services Creating an OData Service Adding User Interface Annotations Generating a List Report Template in SAP Web IDE Full-Stack Extending the User Interface List Report Application versus Worklist Application Summary Developing an Overview Page Core Data Services Views Adding User Interface Annotations Creating an OData Service Exposing CDS Views as an OData Service Generating an Overview Page Template Project in SAP Web IDE Summary Developing an Analytical List Page Introduction Building the Required CDS Views Configuring the Title Area Configuring the Filter Area Configuring the Content Area Combining All the UI Annotations in the Metadata Extension View Generating an Analytical List Page from SAP Web IDE Summary Developing a Freestyle Application Smart Controls Application Development with the SAP Web IDE Full-Stack Summary Deploying Applications to the SAP Fiori Launchpad Uploading a User Interface to the ABAP Frontend Server SAP Fiori Launchpad Admin Page Creating the Technical Catalog and Business Catalog Creating the Application Tiles Creating Groups for Application Tiles Creating and Assigning a Transaction PFCG Role to Users Setting Up Intent-Based Cross-Application Navigation from OVP to LRP Summary Operating Applications Version Control in SAP Web IDE Using Git Git Introduction Git Basics Summary Automated Testing Backend Test Automation Frontend Test Automation End-to-End Test Automation Tools Summary Continuous Integration Introduction Setting Up a Continuous Integration Pipeline for SAPUI5 on the ABAP Server Continuous Integration on the ABAP Server Summary Appendices Developing Applications on the SAP Cloud Platform The Authors Index

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Book SynopsisEnter the fast-paced world of SAP HANA 2.0 with this introductory guide. Begin with an exploration of the technological backbone of SAP HANA as a database and platform. Then, step into key SAP HANA user roles and discover core capabilities for administration, application development, advanced analytics, security, data integration, and more.Table of ContentsCONTENTS INCLUDE, 1. Architecture, 2. Administration, 3. Application development, 4. Analytics, 5. Security, 6. Data integration, 7. Data architecture, 8. Data center.

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Book SynopsisStudying for the SAP S/4HANA Management Accounting exam? Get the tools you need to succeed with this CO certification study guide for exams C_TS4CO_1709 and C_TS4CO_1809. Understand the test structure and what to expect; then walk through each topic area. Quiz yourself with practice questions and answers.Table of ContentsPartial Contents: 1. C_TS4CO_1709 exam 2. C_TS4CO_1809 exam 3. Organizational assignments 4. Process integration 5. Cost center accounting 6. Internal orders 7. Product cost planning 8. Cost object controlling 9. Profitability analysis 10. Profit center accounting.

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Book SynopsisJump-start your inventory operations in SAP S/4HANA! Review basic inventory practices and consult step-by-step instructions to configure SAP S/4HANA for your organization's requirements. Then put the system to work! Run the SAP Fiori applications that guide your core inventory workflows: inventory planning, goods receipt, core inventory, production planning, and inventory analysis. This hands-on guide to inventory has the details you need. In this book, you'll learn about: a. Inventory Planning Set up a successful inventory management system. Understand how to implement key planning strategies like make-to-order, make-to-stock, MRP Live, and Kanban in your SAP S/4HANA system. b. Inventory Execution Ensure your system runs smoothly. Tap into the potential of SAP Fiori applications and execute core inventory processes such as exception handling, physical inventory, transfers, and more. c. Inventory Analysis Make the most of your inventory analytics tools. See what's offered with SAP S/4HTable of ContentsCONTENTS INCLUDE, 1. Inventory optimization, 2. Inventory planning, 3. Goods receipt, 4. Core inventory, 5. Production planning, 6. Inventory analysis, 7. Configuration, 8. Deployment, 9. SAP Fiori applications.

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Book SynopsisReady for SAP SuccessFactors Employee Central? First, master the Employee Central workforce admin functionality. Next, learn to configure permissions, implement mass changes, and set up workflows, company structures, and business rules. Finally, explore integration with SAP and third-party applications to get the most out of your HR setup.

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Book SynopsisLeap into the future of billing! This comprehensive guide to SAP BRIM walks you through the basics of subscription-based and as-a-service billing models. Implement the core components of the SAP BRIM suite with step-by-step instructions, and then dig into billing operations following best practices.

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Book SynopsisBegin your JavaScript journey with this comprehensive, hands-on guide. You’ll learn everything there is to know about professional JavaScript programming, from core language concepts to essential client-side tasks.

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Book SynopsisThe introduction of digital applications into businesses has revolutionized the way employees and managers carry out their jobs while also benefiting them socially. Smartphone and App Implementations that Improve Productivity looks at the benefits of apps in the workplace and introduces academic perspectives that link prospective advantages with practical commercial examples. The analysis is structured into chapters that include real world application while at the same time critically assess implied benefits of the new app technology and draw out the main findings and conclusions. Tahir M. Nisar brings into focus the emerging role of digital applications and big data in enterprise decision making. Readers will learn how companies can achieve more efficiency and effectiveness in their business operations through new types of organizational design strategies and mechanisms of employee mobility and work-life balance that draw on digital apps.Table of ContentsPreface Chapter 1 Introduction Uber: A mobile application Performance evaluation – App rating system The drivers – not employees but partners Flexibility – a key word in Uber’s digital practices What it all comes down to Chapter outlines Chapter 2 Mobile Communications and Big Data Chapter 3 Management of Enterprise Resource Systems APP types Enterprise resource planning Large and small firms and apps Chapter 4 Technology and Firm capabilities Web-conferencing E-learning Supply-chain Marketing Sales force automation (SFA) Customer relationship management Retailing Personalization and unison Accessibility Transparency Chapter 5 Management Processes and Decision Making Management Knowledge Management Teams Work design Business process re-engineering Human resource management Control and coordination Motivation Communication Monitoring Training and worker skills Health and safety Strategy Chapter 6 Apps and Performance Outcomes Productivity Workplace efficiency Overhead costs Mobility Collaboration Creative labor Chapter 7 Mobility and Work-life Balance What is work-life balance? Chapter 8 New Digital Markets and Emerging Business Models Sharing economy Mobile banking Social media Chapter 9 Conclusion References

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Book SynopsisWritten by a member of Microsoft’s Power BI team, this resource provides a practical step by step guide on creating a financial dashboard. The book covers in detail how to combine and shape the relevant data, build the dashboard in Power BI, providing layout and design tips and tricks, prepare the model to work with fiscal dates, and show values used in many financial reports, including year-to-date, variance-to-target, percentage-of-total, and running totals reports.

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Book SynopsisPower Query is the amazing new data cleansing tool in both Excel and Power BI Desktop. Do you find yourself performing the same data cleansing steps day after day? Power Query will make it faster to clean your data the first time. While Power Query is powerful, the interface is subtle—there are tools hiding in plain sight that are easy to miss. Go beyond the obvious and take Power Query to new levels with this book.

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