Search results for ""Apress""

Book SynopsisChapter 1: Data.- Chapter 2: Master Data Management and Governance.- Chapter 3: Introduction to the Master Data Governance Framwork.- Chapter 4. Master Data Governance Kickoff Toolkit.- Chapter 5: Master Data Governance.- Chapter 6: System Governance.- Chapter 7: Organzatinal Governance.

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Book SynopsisRefer to the practical guidance provided in this book to develop Salesforce custom applications in a more agile, collaborative, and resilient way using Salesforce Developer Experience (DX). You will learn how to use the Salesforce Command Line Interface (CLI) to simplify working with projects, metadata, data and orgs. The CLI integrates with your development tools of choice such as Visual Studio Code, and CI/CD tools to implement DevOps pipelines. Readers will also gain an understanding of the package development model, which improves application quality and maintainability by grouping metadata into highly cohesive, loosely coupled containers. Salesforce DX supports application development throughout the entire development lifecycle where a version control system, rather than a Salesforce org, is the source of truth. It became generally available in late 2017 and has now reached a stage of feature richness and stability that it is becoming more widely adopted. Beginning SalesforTable of ContentsForwardIntroduction PART I Chapter 1. How to Install the Salesforce DX Development Toolset Chapter 2. Introduction to the Core Salesforce DX Tools and Concepts Chapter 3. Overview of the Development Models that SFDX Supports Chapter 4. Sample Project Development Lifecycle Walkthrough PART II Chapter 5. Customizing Service Cloud Chapter 6. Customizing Lightning Service Console Chapter 7. Customizing Lightning Community Chapter 8. Customizing Lightning Knowledge Chapter 9. Customizing Omni-Channel Chapter 10. Customizing Messaging Chapter 11. Customizing Chat Chapter 12. Summary

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Book Synopsis This book is your comprehensive guide to understanding Blockchain and Blockchain consensus algorithms. It covers distributed systems, distributed consensus, and relevant system models. And you''ll explore how classical and modern consensus algorithms work. The book also covers quantum consensus and explains the role that quantum computing plays in distributed systems. Consensus protocols allow participants in distributed systems to agree on a common value, despite faults. It''s a fundamentally important construct in distributed systems. As a result of rigorous and ground-breaking research over the last four decades, many consensus mechanisms have been developed and are used in the industry today. However, with the advent of Blockchain technology, a renewed interest has arisen in this area, resulting in more research and innovation. The first Blockchain, Bitcoin, was invented in 2008 and introduced a novel consensus protocol called Nakamoto consensus, a solutionTable of ContentsChapter 1: Introduction Chapter Goal: to introduce distributed computing concepts, models and relevant concepts No of pages - 30 1. Introduction 1.1. What is distributed computing 1.1.1.Characteristics (collection, coherent, same task, consists of nodes etc) 1.2. Distributed algorithms 1.3. Elements of distributed computing 1.4. computational (system) model 1.5. Space / time diagram 1.6. Time, clocks and order 1.7. Broadcast ordering 1.8. types 1.8.1.1.Message passing 1.8.1.2.Shared memory 1.9. Synchrony / timing 1.10. Adversary model 1.11. Faults 1.11.1.Process / program faults 1.11.2.Processor / machine 1.11.3.Communication / link faults 1.11.4.Storage faults 1.11.5.Types (omission, byzantine . . . etc.) 1.11.6.Correct processes 1.11.7.Fault tolerance 1.12. Abstractions 1.12.1.What and why abstractions? 1.12.2.to understand / build distributed computing – helps to state and reason about distributed computing 1.12.3.System model 1.12.4.Processes and links 1.12.5.Communication and networks 1.12.5.1.Latency and bandwidth 1.12.6.Agreement 1.12.7.Cryptography abstractions 1.13. Role of cryptography in distributed systems and consensus 1.14. CAP theorem 1.15. Summary Chapter 2: Cryptography Chapter Goal: to understand cryptography and build ground for use of cryptography in consensus No of pages - 30 2. Cryptography 2.1.1.What is cryptography 2.1.2.CIA triad 2.1.3.Symmetric cryptography 2.1.4.Asymmetric cryptography 2.1.5.Hash functions 2.1.6.MACs 2.1.7.Digital signatures 2.1.8.Privacy 2.1.9.Zero knowledge 2.1.10.Summary Chapter 3: Distributed consensus Chapter Goal: to introduced the subject of consensus, why its important, history, how it developed, what are the requirements and relevant results and abstractions. No of pages - 30 3. Distributed consensus 3.1. What is distributed consensus 3.1.1.Agreement abstraction 3.2. Goal of distributed consensus 3.2.1.Safety 3.2.2.liveness 3.2.3.Other properties and goals 3.3. Consensus system model 3.4. History 3.5. Types 3.6. Building blocks 3.7. Other abstractions 3.8. Two generals problem - network model 3.9. Byzantine generals problem - node behaviour model 3.10. Byzantine agreement 3.11. Replication 3.12. Primary - backup model 3.13. State machine replication 3.14. Fundamental results, lower bounds / upper bounds 3.15. FLP impossibility 3.16. How to circumvent FLP impossibility 3.16.1.Synchrony models , assumptions, eventual, partial synchrony etc. 3.16.2.Other methods 3.17. Cryptography in distributed consensus 3.17.1.Privacy in consensus algorithms 3.18. Where are we now 3.19. Summary Chapter 4: Blockchain Chapter Goal: to introduce blockchain, its structure, use cases and technical underpinnings. No of pages - 20 4. Blockchain 4.1. What is blockchain 4.2. Background 4.2.1.The first blockchain 4.2.2.Bitcoin 4.2.3.Smart contracts 4.3. Blockchain is a distributed system 4.4. Basic structure 4.5. Benefits 4.6. Types 4.7. Available platforms 4.7.1.Ethereum 4.8. Use cases 4.9. Summary Chapter 5: blockchain consensus Chapter Goal: introduce blockchain consensus, relationship with classical consensus, need of consensus in blockchain, how generally it works and Bitcoin protocol. No of pages - 20 5. Blockchain consensus 5.1. Relationship with distributed systems 5.2. Why consensus is needed 5.3. First appearance – with Bitcoin to circumvent double spending and Sybil attack 5.4. A confusion – a consensus mechanism, consensus facilitation mechanism or a Sybil attack defence mechanism 5.5. First blockchain consensus – in Bitcoin – PoW 5.6. Summary Chapter 6: early protocols Chapter Goal: to introduce what distributed consensus protocols were developed earlier , some fundamental relevant results and how these protocols work. This will develop intuition and basis for more advanced topics in the next chapter. No of pages - 20 6. Early protocols 6.1. Byzantine agreement 6.2. Ben-Or 6.3. DLS 6.4. View stamped replication 6.5. Summary Chapter 7: Classical consensus algorithms Chapter Goal: introduced classical consensus protocols , inluding Paxos, RAFt, PBFT and understand how they work in detail No of pages - 30 7. Classical protocols / algorithms This chapter covers classical protocols in detail, their design, how they work and where they are implemented. How and if they can be used in blockchain 7.1. Paxos 7.2. RAFT 7.3. PBFT 7.4. How to adapt these classical protocols for blockchain. 7.5. Summary Chapter 8: blockchain age protocols Chapter Goal: introduction to modern blockchain protocols and how they work. No of pages - 40 8. Modern - blockchain age protocols 8.1. PoW 8.2. PoS 8.3. Tendermint 8.4. Hotstuff 8.5. SBFT 8.6. Summary Chapter 9: newer protocols Chapter Goal: to introduce newer class of protocols , specifically developed for blockchains and cryptocurrencies No of pages - 10 9. Other newer protocols 9.1. Snow flake family 9.2. Other exotic ideas and protocols 9.3. Summary Chapter 10: Design and implementation Chapter Goal: to introduce how to model, design and verify consensus protocols No of pages : 30 10. Design and implementation 10.1. Design 10.2. Formal methods in computer science 10.3. Correctness proofs 10.4. Formal spec and verification of consensus algorithms 10.5. Using TLA+ 10.6. Other Correctness proofs 10.7. Performance 10.7.1.Scalability and efficiency 10.8. Security 10.9. Implementation 10.10. Selection / evaluation criteria / Evaluation 10.10.1.Complexity concepts 10.10.2.Summary Chapter 11: current landscape and future Chapter Goal: general overview of latest state of the art and current challenges along with research directions. No of pages : 5 11. Current landscape, research directions and future 11.1. State of the art 11.2. Challenges 11.3. Research directions 11.4. Future 11.5. Exotic ideas 11.6. Conclusion

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Book SynopsisBuild and manage large estates, and use the latest OpenSource management tools to breakdown a problems.Table of Contents Part One: Laying the foundation.- Chapter 1: Linux at a Glance.- Part two : Strengthening core skills.- Chapter 2: New tools to improve the administration experience.- Chapter 3: Estate management.- Chapter 4: Estate Management Tools.- Chapter 5: Automation.- Chapter 6: Containers.-Part Three: Day two practices and keeping the lights on.-Chapter 7: Monitoring.-Chapter 8: Logging.-Chapter 9: Security.-Chapter 10: Maintenance tasks and planning.- Part Four: See, analyze and act.-Chapter 11: Troubleshooting.-Chapter 12: Advanced Administration

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Book SynopsisLearn and master the new features in the new Eclipse Jakarta Faces (formerly JavaServer Faces or JSF) web framework in this definitive guide written by two of the driving forces of the Faces project and the co-creators of the OmniFaces library. Authors Bauke Scholtz and Arjan Tijms take you through real-world examples that demonstrate how these new features are used with other APIs in Jakarta EE. You''ll see the new and exciting ways Jakarta Faces applications can use to communicate between a client and a server, such as using WebSockets, invoking bean methods directly from Ajax, executing client-side JavaScript when Ajax calls complete, and moreAlong the way you''ll broaden your knowledge of Faces components and web APIs best practices, and learn a great deal about the internals of Faces and the design decisions that have been made when building the Faces API. For example, you''ll see what artefacts are now CDI injectable, how CDI changed Faces internallTable of Contents1. History2. From Zero To Hello World3. Components4. Form Components5. Validation and Conversion6. Output Components7. Facelets Templating8. Backing Beans9. Exception Handling10. WebSocket Push11. Custom Components12. Search Expressions13. Security14. Localization15. Extensions

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Book SynopsisGain an understanding of Maven''s dependency management and use it to organize basic and multi-module Maven projects. This short book is your quick-start tutorial for learning to use Maven. It includes inconsistently immutable collections, better array construction, and more from the latest Maven version 3.6. This second edition covers the newest in today''s most popular build tool for Java development and programming.  You''ll learn all about Maven and how to set it up. Firstly, you''ll cover the Maven life cycle and how to effectively leverage it. Also, you''ll see the basics of site plugins, generating Javadocs, test coverage/FindBugs reports, and version/release notes. Furthermore, you''ll take advantage of Maven''s archetypes to bootstrap new projects easily. Finally, you will learn how to integrate the Nexus repository manager with Maven release phases. What You Will Learn  Set up your basic project in MavenTable of Contents1. Maven Basics2. Setting up Maven3. Maven Profiles4. Maven Basic Project5. Maven Advanced Project6. Project Object Model (POM)7. Multi Module Project8. Maven Lifecycle9. Documentation and Reporting10. Maven Archetypes11. Maven Releases12. Misc. Maven: Jenkins, Debugging, Password Encryption and IDEs Integration

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Book SynopsisMATLAB can run Python code!Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python solutions invoked directly from MATLAB   This book shows how to call Python functions to enhance MATLAB''s capabilities. Specifically, you''ll see how Python helps MATLAB: Run faster with numba Distribute work to a compute cluster with dask Find symbolic solutions to integrals, derivatives, and series summations with Table of ContentsChapter 1: Introduction Goal: Describe the book’s goals, what to expect, what benefit to gain. • Learn Python through MATLAB Equivalents • Is Python really free? • What About Toolboxes? • I already know Python. How do I call Python functions in MATLAB? • What you won’t find in this book • Beyond MATLAB Part I – Learning Python through MATLAB comparisonsChapter 2: Installation Goal: Create a working Python installation on the computer with MATLAB • Downloads • Post-Install Checkout • ipython, IDE’s • Python and MATLAB Versions Used in This Book Chapter 3: Language Basics Goal: Learn the basic mechanics of Python • Assignment • Printing • Indentation • Indexing • `for` Loops • `while` Loops • `if` Statements • Functions • Comments • Line Continuation • Exceptions • Modules and Packages Chapter 4: Data Containers Goal: Learn about lists, dictionaries, etc, and how these compare to MATLAB matrices and cell arrays • NumPy Arrays • Strings • Python Lists and MATLAB Cell Arrays • Python Tuples • Python Sets and MATLAB Set Operations • Python Dictionaries and MATLAB Maps • Structured Data • Tables • Caveat: ```=`'' copies a reference for non-scalars! Chapter 5: Date and Time Goal: Learn about measuring, storing, and converting temporal values. • Time • Dates • Timezones • Time Conversions to and from `datetime` Objects Chapter 6: Input and Output Goal: Learn about reading and writing data, with emphasis on numeric data and scientific file formats like HDF and NetCDF. • Reading and Writing Text Files • Reading and Writing Binary Files • Reading and Writing Pickle Files • Reading and Writing `.mat` files • Command Line Input • Interactive Input • Receiving and Sending over a Network • Interacting with DatabasesChapter 7: Interacting with the File System Goal: Show how Python manages file system operations. • Reading Directory Contents • Finding Files • Deleting Files • Creating Directories • Deleting Directories • Walking Directory TreesChapter 8: Interacting with the Operating System and External Executables Goal: Show how to make system calls in Python and how these differ from MATLAB. • Reading, setting environment variables • Calling External Executables • Inspecting the Process Table and Process Resources Part II – MATLAB with PythonChapter 9: MATLAB/Python Integration Goal: Show how to make system calls in Python and how these differ from MATLAB. • MATLAB’s `py` Module • System calls and File I/O • TCP/IP ExchangeChapter 10: Object Oriented ProgrammingGoal: Demonstrate Python’s OO semantics compared to MATLAB • Classes • Custom Exceptions • Performance ImplicationsChapter 11: NumPy and SciPy Goal: Introduce Python’s numeric and scientific computing capability. This is by far the largest chapter in the book. • NumPy Arrays • Linear Algebra • Sparse Matrices • Interpolation • Curve Fitting • Statistics • Finding Roots • Optimization • Differential Equations • Symbolic Mathematics • Unit Systems Chapter 12: Plotting Goal: Demonstrate how publication-quality plots are produced in Python alongside MATLAB equivalents • Point and Line Plots • Area Plots • Animations • Plotting on Maps • 3D Plots • Making plots in batch modeChapter 13: Tables and DataframesGoal: Show Pandas dataframes in comparison to MATLAB tables (and how the former pre-dates the latter by five years) • Loading tables from files • Table summaries • Cleaning data • Creating tables programmatically • Sorting rows • Table subsets • Iterating over rows • Pivot tables • Adding columns • Deleting columns • Joins across tablesChapter 14: High Performance ComputingGoal: Demonstrate techniques for profiling Python code and making computationally intensive Python code run faster. Significant performance advantages over MATLAB are shown. • Paths to faster Python code • Reference Problems • Reference Hardware and OS • Baseline performance • Profiling Python Code • Vectorization • Cython • Pythran • Numba • Linking to C, C++, Fortran • Distributed memory parallel processing Chapter 15: `py` Module ExamplesGoal: A collection of examples that show how Python enables the core MATLAB product to perform tasks that would either require a Toolbox or less-vetted code from the MathWorks’ user contributed FileExchange. • Read a YAML File • Write a YAML File • Compute Laplace Transforms • Interact with Redis • Units • Propagate a satellite’s orbit • Controls • Plotting on mapsChapter 16: Language Warts Goal: Identify MATLAB and Python language ‘features’ that often cause beginners grief. • Dangerous language features • MATLAB • Python • Common Errors

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Book SynopsisChapter 1: Introduction to Linux Administration.- Chapter 2: Managing User Accounts.- Chapter 3: Filesystem Management.- Chapter 4: Basic System Configuration.- Chapter 5: Package Management.- Chapter 6: Introduction to Shell Scripting.- Chapter 7: System Monitoring and Performance.- Chapter 8: Introduction to Security.- Chapter 9: Networking and Remote Access.- Chapter 10: Backup and Disaster Recovery.

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Book SynopsisChapter 1 - Getting Started.- Chapter 2 - Write Tests Efficiently.- Chapter 3 - Locators.- Chapter 4 - Continuous Integration.- Chapter 5 - Make it Fast.- Chapter 6 - Extending Playwright Test.- Chapter 7 - Fixtures Deep-dive.- Chapter 8 - Mocking and Emulation.- Chapter 9 - Gain Confidence Thanks to Reliable Tests.- Chapter 10 - Automation and More with Playwright.- Chapter 11 - Beyond End-to-end Testing.- Chapter 12 - Solving the Test Frameworks Puzzle.

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Book SynopsisChapter 1:  Introduction to Machine Learning.- Chapter 2:  Tensors in PyTorch.- Chapter 3:  Image Classification using Convolutional Neural Networks.- Chapter 4: Introduction to Natural Language Processing: Building a Text Classifier.- Chapter 5: Practical Natural Language Processing with Hugging Face.- Chapter 6: Building a Language Model for Storytelling.- Chapter 7: Audio Classification with PyTorch.- Chapter 8: Recommender Systems with PyTorch.- Chapter 9: Image Captioning.

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Book SynopsisIntroduction.- Part I: Getting Started.- Chapter 1: Introduction to Entity Framework.- Chapter 2: Working with an Existing Database.-  Chapter 3: Entity Framework: Code_First Database Interaction.- Part II: Building the Data Solution.- Chapter 4: Models and the Data Context.- Chapter 5: Constraints, Keys, and Relationships.- Chapter 6: Data Access (Create, Read, Update, Delete).- Chapter 7: Stored Procedures, Views, and Functions.- Chapter 8: Sorting, Filtering, and Paging.- Part III: Enhancing the Data Solution.- Chapter 9: Efficient Queries Using LINQ and Projections.- Chapter 10: Encryption of Data.- Chapter 11: Repository and Unit of Work Patterns.- Chapter 12: Unit Testing, Integration Testing, and Mocking.- Part IV: Modern Entity Framework.- Chapter 13: Modern Deployments.- Chapter 14: New Features in EFCore 7, 8, 9, and 10.- Part V: Recipes for Success.- Appendix A: Troubleshooting.- Appendix B: Commands for Migrations.

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Book SynopsisConfession #1: I Didn’t Plan on Becoming a Scrum Master.- Confession #2: Internal Conflict – The Architect vs. The Scrum Master.- Confession #3: When the Code Breaks, So Does the Team.- Confession #4: Stakeholders Think Agile is a Miracle Cure.- Confession #5: The Myth of Requirements (or Lack Thereof).- Confession #6: When Agile Meets Fixed Deadline.- Confession #7: Scaling Nightmares – Nexus, Chaos, and Customer Challenges.- Confession #8: How I Learned Velocity Isn’t Everything.- Confession #9: Customer Feedback in IT – The Forgotten Metric.- Confession #10: Siloed Teams, Stalled Delivery.- Confession #11: The Human Side of Scrum – People Skills that Make or Break Teams.- Confession #12: Surviving Meetings That Should Have Been Emails.- Confession #13: The Dire Consequence of Ignoring Toxic Culture.- Confession #14: You Can’t Hold Everyone Accountable All the Time.- Confession #15: When Teams Don’t Play as One.- Confession #16: Agile for Lean Tech Teams.- Confession #17: Execution vs. Process – The XP Influence.- Confession #18: When Agile Rules Bend (and Break).- Confession #19: The Frameworks Are Coming – Don’t Panic.- Confession #20: Is Agile Forgetting Its Roots? Learning from Toyota.

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Book SynopsisChapter 1: Flutter Overview and New Features.- Chapter 2: Advanced Widget and UI Design.- Chapter 3: Performance Optimization and Profiling.- Chapter 4: Advanced State Management.- Chapter 5: Custom Rendering and Painting.- Chapter 6: Integration with Native Code.- Chapter 7: Web and Desktop Enhancements.- Chapter 8: Networking and API Integration.- Chapter 9: Advanced Animations and Transitions.- Chapter 10: Flutter for Machine Learning and AI.- Chapter 11: Security and App Hardening.- Chapter 12: Advanced Testing and CI/CD for Flutter.- Chapter 13: Flutter for Embedded Systems.- Chapter 14: Flutter in the Enterprise Environment.- Chapter 15: Flutter for Internationalization and Localization.- Chapter 16: Deploying and Maintaining Flutter Apps.

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Book SynopsisChapter 1: Introduction to Generative AI.- Chapter 2: GenAI and the Financial Services Sector.- Chapter 3: GenAI Strategy: A Blueprint for Successful Adoption.- Chapter 4: Architecting and Building a GenAI Application.- Chapter 5: Risk and Compliance Managment with GenAI.- Chapter 6: Retail Banking with GenAI.- Chapter 7: Investment Banking with GenAI.- Chapter 8: Wealth and Asset Management wth GenAI.- Chapter 9: Implementation, Operations, and Maintenance of GenAI Applications.- Chapter 10: Emerging Trends, Summary, and Next Steps.

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Book SynopsisPart I Agenda 2030.- Chapter 1: The 17 UN Sustainable Development Goals.- Part II Earth.- Chapter 2: Scarcity of Resources.- Chapter 3: Decrease in Green Spaces.- Chapter 4: Deforestation Monitoring in Siberia.- Chapter 5: Efficient Fertilizer Production Using Quantum Computing.- Chapter 6: Digital Farming.- Chapter 7: Degradation of Biodiversity.- Chapter 8: Waste Disposal.- Chapter 9: SAS Viya for Forecasting Sponsorships for Children.- Chapter 10: Smart Cities.- Chapter 11: AI-Driven Traffic Management.- Chapter 12: Healthcare.- Chapter 13: OPAL: An Innovative Tool for Environmentally Conscious Development.- Chapter 14: Combating Plastic Pollution in Ghana.- Part III Air.

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Book SynopsisChapter 1: The AI Landscape and Its Evolving Impact.- Chapter 2: Challenges and Gaps in Current AI Adoption.- Chapter 3: Understanding Agency - what makes Agentic AI a teammate, not a tool - Chapter 4: Why Agentic Capabilities Outperform Traditional AI.- Chapter 5: Microsoft’s AI Stack and Agentic Evolution.- Chapter 6: Governing Agentic AI – Principles, Practices, and Playbooks? - Chapter 7: Embracing the Agentic Workforce.- Chapter 8: Beyond the Horizon.

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Book SynopsisPart I: Your First Layout: Portfolio Page.- Chapter 1: What You Need to Know: Revision of HTML, CSS and JavaScript.- Chapter 2: Containers and Rows in Bootstrap 5.3.- Chapter 3: Columns, Breakpoints and the Grid.- Chapter 4: Utilities, Typography, Images and Tables in Bootstrap 5.3.- Part II: Your Second Layout: Invoice Maker.- Chapter 5: Forms in Bootstrap 5.3.- Chapter 6: Components in Bootstrap 5.3.- Chapter 7: JavaScript and Bootstrap 5.3.- Chapter 8: Deploying Your Bootstrap 5.3 Layout on Netlify Using GitHub.- Part III: Your Third Layout - Bootstrap 5.3 and React.- Chapter 9: Modern Front-End Tooling.- Chapter 10: React Concepts You Need to Know to Code Your Layout.- Chapter 11: Code a Restaurant Website in React Using Bootstrap.- Chapter 12: Improving Your Restaurant Website Using the React-Bootstrap npm Package.

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Book Synopsis Chapter 1: Let’s Read CPython Source Code.- Chapter 2: Introduction to the CPython Project.- Chapter 3: Everything is an Object (Part 1).- Chapter 4: The Lifecycle of Object Creation.- Chapter 5: Everything is an Object (Part 2).- Chapter 6: My Python Does Backflips!.- Chapter 7: When Importing Modules.- Chapter 8: The Past and Present of Integers.- Chapter 9: The Floating Point Odyssey.- Chapter 10: The Secret Life of Strings (Part 1).- Chapter 11: The Secret Life of Strings (Part 2).- Chapter 12: From Compile to Execution.- Chapter 13: A Tour of the Bytecode Factory.- Chapter 14: The Queueing Life of Lists.- Chapter 15: The Art of Dictionary Management (Part 1).- Chapter 16: The Art of Dictionary Management (Part 2).- Chapter 17: The Unyielding Nature of Tuples.- Chapter 18: The Virtual Machine Saga (Part 1).- Chapter 19: The Virtual Machine Saga (Part 2).- Chapter 20: The Virtual Machine Saga (Part 3).- Chapter 21: The Virtual Machine Saga (Part 4).- Chapter 22: The Virtual Machine Saga (Part 5).- Chapter 23: Classes and Their Origins.- Chapter 24: Inheritance and Family Feuds (Part 1).- Chapter 25: Inheritance and Family Feuds (Part 2).- Chapter 26: Inheritance and Family Feuds (Part 3).- Chapter 27: Creating a Generator.- Chapter 28: The Colorful World of Iterators.- Chapter 29: Descriptors Everywhere.- Chapter 30: The Hidden Truth of Exception Handling.

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Book Synopsis1. Introduction to Generative AI and R.- 2. Setting up your R Environment for Generative AI.- 3. Fundamentals of Generative AI .- 4. Implementing Basic Generative Models in R.- 5. Generating Synthetic Data with R.- 6. Advanced Generative Models and Techniques.- 7. Generative AI for Predictive Modeling.- 8. Creative Applications of Generative AI in R.- 9. Ethical Considerations and Future Directions.

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Book SynopsisChapter 1: Brief History of the Latest Modern GPUs.- Chapter 2: Know Your Hardware: The Streaming Multiprocessor.- Chapter 3: GPGPU Ray Tracing vs DXR Ray Tracing Approaches.- Chapter 4: Enter the Turing Microarchitecture.- Chapter 5: Ray Tracing Techniques.- Chapter 6: Ray and Camera Model Definitions.- Chapter 7: Basic Ray-Primitive Intersection Techniques.- Chapter 8: Rendering Equation and Monte Carlo Integration.- Chapter 9: DirectX 12 and Real-Time Ray Tracing in DXR.- Chapter 10: Path Tracing: Global Illumination.

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Book Synopsis1.       Introduction.- 2.       Computation.- 3.       Operating Systems.- 4.       Bash.- 5.       Bash: Combining Commands & Variables to Make Pipelines & Scripts to Process Data.- 6.       Algorithms & Coding.- 7.       Floating-Point Numbers.- 8.       Python.- 9.       Using Python As A Calculator.- 10.   Programming.- 11.   Functions.- 12.   Software Design.- 13.   Working with Datasets.- 14.   Programming Efficiency.- 15.   Other Subjects.- 16.   SciPy.- 17.   Odds & Ends.- 18.   Writing A Large Project.

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Book Synopsis * Updated for XSLT 2.0, the latest revision * A clear, step-by-step introduction to XSLT for practical, everyday tasks * Suitable for complete beginners, even people who have never programmed before * Comprehensive, but focuses on techniques that are used time and time again; Uses a fun byut realistic case study throughout * Includes introductions to many of the most popular XML vocabularies Written by one of the leading experts on both XSLT and XML Schema; technical review by Michael Kay, the leading and well-known expert on XSLT.Table of ContentsA table of contents is not available for this title.

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Book SynopsisImagine you are a business user, consultant, or developer about to enter an SAP S/4HANA implementation project. You are well-versed with SAP''s product portfolio and you know that the preferred reporting option in S/4HANA is embedded analytics. But what exactly is embedded analytics? And how can it be implemented? And who can do it: a business user, a functional consultant specialized in financial or logistics processes? Or does a business intelligence expert or a programmer need to be involved? Good questions!This book will answer these questions, one by one. It will also take you on the same journey that the implementation team needs to follow for every reporting requirement that pops up: start with assessing a more standard option and only move on to a less standard option if the requirement cannot be fulfilled. In consecutive chapters, analytical apps delivered by SAP, apps created using Smart Business Services, and Analytical Queries developed either using tiles or in a Table of ContentsChapter 1: Before the Work Starts Chapter Goal: Miscellaneous intro topics. No of pages: 40 Sub -Topics 1. Business Intelligence: the art of enriching data 2. HANA changing the OLTP versus OLAP game 3. Cloud flavors: SaaS versus IaaS 4. The latest thing: CDS-views 5. Frontend: Fiori and UI5 6. SAP’s BI portfolio 7. S/4HANA and Embedded Analytics Chapter 2: No Work: Use What is Delivered Chapter Goal: S/4HANA comes with rich analytical apps that can be used immediately. This chapter focuses on the content delivered by SAP. No of pages: 20 Sub - Topics 1. Discover analytical apps 2. Activate them 3. Use them Chapter 3: Some Work: Smart Business Service Chapter Goal: S/4HANA has built-in functions for codeless creation of simple analytical apps. Target group of these functions are power users, but in practice functional (non-BI) consultants are most suitable to use this functionality. Functions are made available as a group of Fiori-tiles under the product name “Smart Business Service”. No of pages : 30 Sub - Topics: 1. Tiles “KPI Design”2. Tiles “Report Design”3. Tile “Analysis Path Framework Modeling”4. The end-result: again tilesChapter 4: More Work: Building Analytical Queries Using TilesChapter Goal: S/4HANA comes with tiles to create so-called “Analytical Queries” starting from SAP-delivered CDS-views. Analytical Queries are not static reports, but versatile, interactive queries on real-time data.For the SaaS version of S/4HANA, this is the only option to create Analytical Queries.No of pages: 40Sub - Topics: 1. Discovery of SAP-delivered CDS-views with tile “View Browser”2. Enriching CDS-views with tiles “Custom CDS Views”3. Building an Analytical Query with tile “Custom Analytical Query”4. Running the query with tile “Query Browser”5. How to navigate within an Analytical Query.6. Creating a dedicated tile for the query Chapter 5: Most Work: Building Analytical Queries in a Development EnvironmentChapter Goal: Starting from real-life business requirements, often the conclusion is reached that SAP-delivered CDS-views won’t do the trick. For a SaaS version of S/4HANA, the process following this conclusion is called “managing expectations”. For an on-premise version, a development environment can be applied. And then … the sky is the limit! Development can start not only from SAP-delivered CDS-views but also from tables.No of pages: 60Sub - Topics: 1. Layered approach towards the analytical query2. Data-integration3. “Cube-view”4. Analytical query5. Examples transaction data6. Examples master data7. Example: Replacing custom ABAP-report by analytical query8. Performance considerations; balance between performance and support-friendliness9. Access and data authorizationChapter 6: Extensibility, OData and BeyondChapter Goal: Miscellaneous outro topics related to Embedded AnalyticsNo of pages: 20Sub - Topics: 1. S/4HANA Extensibility2. OData and APIs3. Agile development and Devops 4. Ideal skill-set for an Embedded Analytics expert

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Book SynopsisUse the step-by-step approach of this book to learn and implement design patterns in real-world applications. It focuses on classical design patterns with Java 17 and Eclipse (2021-09). In addition to Gang of Four (GoF) design patterns, the book covers popular and alternative design patterns and includes criticisms of design patterns in a chapter on anti-patterns. The book is divided into four parts. Part one covers the SOLID design principles and the Simple Factory pattern. Part two covers the 23 (GoF) design patterns, including the creational patterns, structural patterns, and behavioral patterns. Part three covers alternative design patterns, including the Null Object pattern, and the model-view-controller (MVC) pattern. Part four covers criticisms of design patterns with a quick overview of anti-patterns. It also includes a chapter on FAQs on design patterns.The book also includes a chapter on FAQs on design patterns. Each pattern is explained with realTable of Contents Part-I: FoundationChapter 1: SOLID PrinciplesChapter Goal: To discuss all the 5 fundamental design principles-SRP, OCP, LSP, ISP, and DIPSub - Topics SRP, OCP, LSP, ISP, and DIPChapter 2: Simple Factory PatternChapter Goal: To discuss the simple factory pattern a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. It is the foundation for the factory method pattern and abstract factory pattern in Part II.Part-II: Gang of Four Design Patterns2.A: Creational PatternsChapter 3: Factory Method PatternChapter Goal: To discuss the factory method pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 4: Abstract Factory PatternChapter Goal: To discuss the abstract factory pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 5: Prototype PatternChapter Goal: To discuss the prototype pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 6: Builder PatternChapter Goal: To discuss the builder pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 7: Singleton PatternChapter Goal: To discuss the singleton pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. 2.B: Structural PatternsChapter 8: Proxy PatternChapter Goal: To discuss the proxy pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 9: Decorator PatternChapter Goal: To discuss the decorator pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 10: Adapter PatternChapter Goal: To discuss the adapter pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 11: Facade PatternChapter Goal: To discuss the facade pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 12: Flyweight PatternChapter Goal: To discuss the flyweight pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 13: Composite PatternChapter Goal: To discuss the composite pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 14: Bridge PatternChapter Goal: To discuss the bridge pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. 2.C: Behavioral PatternsChapter 15: Visitor PatternChapter Goal: To discuss the visitor pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 16: Observer PatternChapter Goal: To discuss the observer pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 17: Strategy PatternChapter Goal: To discuss the strategy pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 18: Template Method PatternChapter Goal: To discuss the template method pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 19: Command PatternChapter Goal: To discuss the command pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 20: Iterator PatternChapter Goal: To discuss the iterator pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 21: Memento PatternChapter Goal: To discuss the memento pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 22: State PatternChapter Goal: To discuss the state pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 23: Mediator PatternChapter Goal: To discuss the mediator pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 24: Chain of Responsibility PatternChapter Goal: To discuss the chain of responsibility pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 25: Interpreter PatternChapter Goal: To discuss the interpreter pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Part-II: Additional Design PatternsChapter 26: Null Object PatternChapter Goal: To discuss the null object pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Chapter 27: MVC PatternChapter Goal: To discuss the MVC pattern with the GoF definition and the core concept behind that with a real-life example and a computer world example. The chapter ends with a concrete implementation and its corresponding output. Part-III: Final talks on Design PatternsChapter 28: Criticism to Design PatternsChapter Goal: To discuss the criticism to design patternsChapter 29: Brief overview of Anti-PatternsChapter Goal: To discuss the anti-patternsChapter 30: FAQChapter Goal: This chapter will consist of the frequently asked questions to help readers with a quick revision. This chapter will also clear the doubts that may arise among similar patterns.

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Book SynopsisDiscover the powerful ESP8266 and ESP32 microcontrollers and their Wi-Fi communication. The ESP32 microcontroller features Bluetooth and BLE communication in addition to Wi-Fi. The book emphasizes practical projects and readers are guided through Wi-Fi and Bluetooth communication, mobile app design and build, ESP-NOW and LoRa communication, and signal generation. Projects throughout the book utilize the Wi-Fi functionality and processing power of the ESP microcontrollers. Projects are built in the Arduino IDE, so you don't need to download other programming software. Mobile apps are now ubiquitous, making the app build projects of the book very relevant, as are the web page design projects. In Electronics Projects with the ESP8266 and ESP32, you'll see how easy and practical it is to access information over the internet, develop web pages, build mobile apps to remotely control devices with speech recognition or incorporate Google Maps in a GPS route tracking app. You will Build pTable of ContentsChapter 1: Internet radio• Station display and selection• Minimal internet radioChapter 2: Internet clock• WS2812 RGB LEDs responsive to sound• LED rings clock 24• Network Time ProtocolChapter 3: International weather station• Touch screen calibration• Painting on-screen• Weather data for several citiesChapter 4: Intranet camera• Save images to SD card• Load images on webpage• Stream images to webpageChapter 5: MP3 player• Control command for MP3 player• MP3 player control with Arduino• Infrared remote control of MP3 player• Creating sound tracks• Speaking clock• Voice recorderChapter 6: Bluetooth speakerChapter 7: ESP8266 local server• HTTP request• HTML code• XML HTTP requests, JavaScript and AJAXChapter 8: Updating a webpage• XML HTTP requests, JavaScript and AJAX• JSON• Accessing WWW data• Parsing text• Console log• Wi-Fi connectionChapter 9: WebSocket• Remote control of pan-tilt servo motors and WebSocket• Websocket and AJAX• Access images, time and sensor data over the internetChapter 10: Build an app• Control and feedback app• Install the app• Servo-robot control app• Speech recognition appChapter 11: App database and Google Maps• MIT App Inventor database• MIT App Inventor and Google MapsChapter 12: USB OTG apps• app receive• app transmit• app receive and transmitChapter 13: GPS and Google Maps• GPS position transmission• Validate transmission of GPS location• Improve GPS location signalChapter 14: Radio Frequency Communication• Transmitting and receiving text• Decode Remote Control Signals• Control Pan-Tilt Servos with RF Communication• Control relay with RF Communication• RelaysChapter 15: Signal generation• Signal generation• Digital to analog conversion• Generating waves• Port manipulation• 12-bit DACChapter 16: Signal generation with 555 integrated circuit• Monostable mode• Bistable mode• Astable mode• Variable duty cycle• 50% duty cycle• PWM mode• Function generator• Square wave to sine waveChapter 17: Measuring electricity• Analog to Digital Converter• Voltage meter• Resistance meter (ohmmeter)• Capacitance meter• Current meter (ammeter)• Current sensor• Solar panel and battery meter• Inductance meterChapter 18: Rotary encoder control• Interrupts• Debouncing• Square wave states• State switching• Incrementing a valueChapter 19: Saving data• Saving to EEPROM• Saving directly to ExcelChapter 20: Microcontrollers• Arduino Uno• Arduino Nano• Arduino Pro Micro• LOLIN (WeMos) D1 mini• Interrupts• Watchdog timer• ESP32• ESP32 analog input• ESP32 analog output• ESP32 pulse width modulation• ESP32 capacitive touch sensor• ESP32 Hall effect sensor• ESP32 RTC and sleep mode• ESP32 and interrupts• ESP32 Serial input• ESP32 Bluetooth communication• Wi-Fi communicationAppendixLibraries

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Book SynopsisLearn how to build a design system framed within the context of your specific business needs. This book guides you through the process of defining a design language that can be understood across teams, while also establishing communication strategies for how to sell your system to key stakeholders and other contributors. With a defined set of components and guidelines, designers can focus their efforts on solving user needs rather than recreating elements and reinventing solutions. You''ll learn how to use an interface inventory to surface inconsistencies and inefficient solutions, as well as how to establish a component library by documenting existing patterns and creating new ones. You''ll also see how the creation of self-documenting styles and components will streamline your UX process.Building Design Systems provides critical insights into how to set up a design system within your organization, measure the effectiveness of that system, and maintain iTable of Contents1. The Rise of Design Systems2. Introducing Design Systems3. Selling the System4. Design as a Language5. Implementing Your System6. Measure and Maintain7. A GitLab Case Study8. Design Systems as a Resource

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Book SynopsisUse this unique book to leverage technology when conducting offensive security engagements. You will understand practical tradecraft, operational guidelines, and offensive security best practices as carrying out professional cybersecurity engagements is more than exploiting computers, executing scripts, or utilizing tools.Professional Red Teaming introduces you to foundational offensive security concepts. The importance of assessments and ethical hacking is highlighted, and automated assessment technologies are addressed. The state of modern offensive security is discussed in terms of the unique challenges present in professional red teaming.Best practices and operational tradecraft are covered so you feel comfortable in the shaping and carrying out of red team engagements. Anecdotes from actual operations and example scenarios illustrate key concepts and cement a practical understanding of the red team process.You also are introduced to countTable of Contents

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Table of ContentsA table of contents is not available for this title.

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

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Book SynopsisPart 1: Introduction to Microsoft HR Solutions.- Chapter 1: The HR Tech Revolution.- Chapter 2: Understanding HR Solution Architecture.- Part 2: Deep Dive into Core HR Solutions.- Chapter 3: Dynamics 365 Human Resources.- Chapter 4: Implementing Dynamics 365 Human Resources.-  Chapter 5: Power Platform for HR.- Part 3: Expanding the HR Toolkit.- Chapter 6: Microsoft 365 for HR Collaboration.- · Chapter 7: Strategic Integration with LinkedIn.- Part 4: Optimizing Your HR Tech Stack.- Chapter 8: Data Security, Governance, and Compliance.- Chapter 9: Templates, Playbooks, and Practical Frameworks for HR Tech GovernanceChapter 10: AI for the Future of HR.- Part 5: Conclusion.- Chapter 11: The Future of Work is Now.- Appendix.- Glossary.- External Resources.

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Book Synopsis1. About the DP-300 Exam and This Book.- Section 1: Plan and Implement Azure SQL Data Platform Resources.- 2. Plan and Deploy Azure SQL Database Solutions.- 3. Configure Resources for Scale and Performance.- 4. Plan and Implement a Migration Strategy.- Section 2: Implement a Secure Environment.- 5. Configure Database Authentication and Authorization.- 6. Implement Security for Data at Rest and Data in Transit.- 7. Implement Compliance Controls for Sensitive Data.- Section 3: Monitor, Configure, and Optimize Database Resources.- 8. Monitor Resource Activity and Performance.- 9. Monitor and Optimize Query Performance.- 10. Configure Database Solutions for Optimal Performance.- Section 4: Configure and Manage Automation.- 11. Create and Manage SQL Agent Jobs.- 12. Automate Deployment of Database Resources.- 13. Create and Manage Database Tasks in Azure.- Section 5: Plan and Configure a High Availability and Disaster Recovery (HA/DR) Environment.- 14. Recommend a HA/DR Strategy for Database Solutions.- 15. Plan and Perform Backup and Restore of a Database.- 16. Configure HA/DR for Database Solutions.

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Book SynopsisChapter 1 - Introduction.- Chapter 2 - Pre-requisites.- Chapter 3 - Introduction to Progressive Rendering.- Chapter 4 - Introduction to Marko v5.- Chapter 5 - The Marko Run Meta Framework.- Chapter 6 - Marko and DevX (Storybook, Prettier & Typescript).- Chapter 7 - Testing Marko components.- Chapter 8 - Sample application.- Chapter 9 - Distributed and Decoupled micro-frontends.- Chapter 10 - Putting it all together.- Chapter 11 - Recipes with Marko.

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Book SynopsisChapter 1 -  Web3.- Chapter 2 - Blockchain.- Chapter 3 - Use Cases.- Chapter 4 - Pros and Cons of Blockchain.- Chapter 5 - Blockchain Applications.- Chapter 6 - Wallets.- Chapter 7 - Providers.- Chapter 8 - Smart Contracts and Decentralized Applications.- Chapter 9 - Web Development with Angular. - Chapter 10 - Web3 Development with Angular.

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Book SynopsisImprove the video multimedia services you work on or develop using tools from video service technologies such as Netflix, Disney+, YouTube, and Skype. This book introduces you to the core technologies that enable Metaverse XR (eXtended Reality) services and advanced video multimedia streaming services.First, you''ll find out about the current and future trends in Metaverse and video streaming services. XR is a combination of technologies that include MR, AR, VR, voice recognition systems, haptic and 3D-motion UIs, as well as head mounted displays) like Microsoft Hololens 2 and Oculus Quest 2. You''ll review metaverse services XR applications and learn more about the core XR feature extraction technologies.  With XR capabilities mastered, you can move into the main technologies for video streaming services like Netflix, Disney+, and YouTube. You''ll also about video formats, such as H.264, MPEG-4 AVC, H.265, MPEG-5, and MPEG-DATable of ContentsChapter 1. Introduction to Metaverse and Video Streaming Technology and Services Ÿ Metaverse XR (eXtended Reality) Technology Introduction Ÿ Metaverse XR Products and BusinessŸ Video Streaming Technology Introduction Ÿ Video Streaming Services and Business Part-1: Metaverse XR Technologies Chapter 2. Metaverse XR ComponentsŸ XR, MR (Mixed Reality), AR (Augmented Reality) & VR (Virtual Reality) Ÿ XR System Components & Workflow Ÿ STT (Speech to Text) voice recognition technologyŸ Haptic & 3D-Motion UIs (User Interfaces) Ÿ HMDs (Head Mounted Displays) Ÿ Unity and Lua Programming LanguagesŸ XR cloud cooperative computation and offloading Chapter 3. XR Feature Extraction Technologies (SIFT, SURF, FAST, BRIEF, ORB, BRISK & AI)Ÿ XR Feature Detection & Description Technology Ÿ XR System Processing & Feature Extraction Ÿ SIFT (Scale Invariant Feature Transform) Ÿ SURF (Speed-Up Robust Feature) Ÿ FAST (Features from Accelerated Segment Test)Ÿ BRIEF (Binary Robust Independent Elementary Features) Ÿ ORB (Oriented FAST and Rotated BRIEF) Ÿ BRISK (Binary Robust Invariant Scalable Keypoints)Ÿ AI (Artificial Intelligence) Technologies Part-2: Video Streaming Technologies Chapter 4. Netflix, Disney+, YouTube, and Skype Video Technologies Ÿ NetflixŸ Disney+ Ÿ YouTube Ÿ Skype Ÿ H.264/MPEG-4 AVC Ÿ H.265/MPEG-5 Ÿ H.266 Future Standards Ÿ Futuristic Holography Technologies and Products (WayRay, SeeReal, RealView Imaging) Chapter 5. Video Streaming and MPEG-DASH Ÿ Streaming Video Network TechnologyŸ Push vs. Pull Media Streaming Ÿ Video Frames (I, P, B Frames) & GOP (Group of Pictures) Ÿ HTTP (Hypertext Transfer Protocol) Ÿ MDP (Multimedia Presentation Description) Ÿ MPEG-DASH (Moving Picture Experts Group - Dynamic Adaptive Streaming over HTTP) Chapter 6. CDN Video Streaming Technology Ÿ CDN (Content Delivery Network) Introduction Ÿ CDN Market Ÿ CDN Technologies & Hierarchical Content Delivery & Mobile CDN Ÿ Disney+ CDN StructureŸ Netflix Open Connect CDN Ÿ CDN AWS (Amazon Web Services) Cloud Support Chapter 7. Emerging Technologies Ÿ What’s Next Ÿ How to Future Proof Your Efforts Audience: Intermediate

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Book SynopsisRead over 20 exclusive, in-depth interviews with chief sustainability officers (CSOs) of Fortune 500 companies such as Amazon, Coca-Cola, and Procter & Gamble and globally recognized brands such as IKEA and Netflix. These CSOs reveal how they deliver positive environmental and social impact through their companies'' core products and services and generate revenue growth while tackling unique leadership, change management, regulatory and stakeholder challenges. Sustainability and environmental, social, governance (ESG) strategies are increasingly central to businesses'' growth strategy and risk management. As a result, the CSO has become more important as a driver of both revenue and strategy. Yet, no two CSOs are alike in their backgrounds, titles or even the scope of their roles. From former Peace Corps volunteers to supply chain experts, these C-suite leaders launch ambitious carbon emissions and net-zero goals, develop new products for a circular economy,Table of ContentsPart I: Consumer Goods, Entertainment & Gaming1. Beatriz “Bea” Perez, The Coca-Cola Company2. Ezgi Barcenas, Anheuser-Busch InBev3. Pia Heidenmark Cook, IKEA4. Virginie Helias, Procter & Gamble5. Marissa (Pagnani) McGowan, PVH Corp.6. Jyoti Chopra, MGM Resorts International7. Emma Stewart, NetflixPart II: Technology, Telecommunications, and Professional Services8. Kara Hurst, Amazon9. Steve Varley, EY10. Sophia Mendelsohn, Cognizant11. Brian Tippens, HPE12. James Gowen, Verizon13. Kevin Hagen, Iron MountainPart III: Energy, Building Materials & Equipment Manufacturing14. Katherine Neebe, Duke Energy15. Oliver Blum, Schneider Electric16. Scott Tew, Trane Technologies17. Frank O'Brien-Bernini, Owens CorningPart IV: Financial Services & Real Estate18. Elsa Palanza, Barclays19. Yulanda Chung, DBS Bank20. Heidi DuBois, AEA Investors LP21. Marisa Buchanan, JPMorgan Chase & Co.22. Cynthia Curtis, Jones Lang LaSalle23. Michelle Edkins & Alexis Rosenblum, BlackRock24. Steve Waygood, Aviva Investors

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Book SynopsisChapter 1: Introduction to Cybersecurity Audits.- Chapter 2: Planning the Cybersecurity Audit.- Chapter 3: Assessing Security Control.- Chapter 4: Compliance and Regulations.- Chapter 5 Introduction to Cyber Risk Management.- Chapter 6 Tools for Network and Cyber Security Audits.- Chapter 7 How to Write an Effective Cybersecurity Audit Report.- Chapter 8 Real-Life Scenarios and Case Studies.

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Book SynopsisChapter 1: Introduction to SAP Fiori.- Chapter 2: SAP Fiori Apps Reference Library.- Chapter 3: SAP Fiori Apps Recommendation Report.- Chapter 4: SAP Fiori Implementation and Deployment.- Chapter 5: SAP Fiori Configuration.- Chapter 6: Introduction to Fiori Apps.- Chapter 7: Introduction to SAP Fiori Catalogs.- Chapter 8: SAP Fiori Launchpad App Manager.- Chapter 9: SAP Fiori Launchpad Content Manager.- Chapter 10: Introduction to SAP Fiori Spaces and Pages.- Chapter 11: Converting SAP Fiori Groups to Pages.- Chapter 12: Configure Custom SAP Fiori Apps.- Chapter 13: SAP Fiori App Support and Troubleshooting.- Chapter 14: SAP Fiori Upgrade Impact Analysis.- Chapter 15: SAP Fiori Adapt UI.- Chapter 16: SAP Fiori Reports.

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Book SynopsisPart 1 - Using FileMaker.- Chapter 1 Introducing FileMaker.- Chapter 2 Launching the Application.- Chapter 3 Exploring a Database Window.- Chapter 4 Working with Records.- Chapter 5 Transferring Data.- Part 2 Defining Database Structure.- Chapter 6 Creating a Database File.- Chapter 7 Building Tables.- Chapter 8 Defining Fields.- Chapter 9 Forming Relationships.- Chapter 10 Managing Containers.- Chapter 11 Defining Value Lists.- Part 3: Writing Formulas and Using Functions.- Chapter 12 Writing Formulas.- Chapter 13 Exploring Built-in Functions .- Chapter 14 Using JSON.- Chapter 15 Creating Custom Functions.- Chapter 16 Introducing ExecuteSQL- Part 4 Designing User Interfaces.- Chapter 17 Introducing Layouts.- Chapter 18 Getting Started with Layouts.- Chapter 19 Surveying Layout Panes.- Chapter 20 Creating Layout Objects.- Chapter 21 Manipulating Objects.- Chapter 22 Using Themes and Styles.- Chapter 23 Customizing Menus.- Part 5 Automating with Scripts.- Chapter 24 Introduction to Scripting.- Chapter 25 Common Scripting Tasks.- Chapter 26 Debugging Scripts.- Chapter 27 Using Script Triggers.- Chapter 28 Extending Features with Plugins.- Part 6 Deploying and Maintaining Solutions.- Chapter 29 Managing Database Security.- Chapter 30 using Developer Tools.- Chapter 31 Maintaining Healthy Files.- Chapter 32 Deploying a Solution.- Chapter 33 Interfacing External Systems.- Part 7 Exploring Advanced Topics.- Chapter 34 Building a Summary Report.- Chapter 35 Keeping Object References Dynamic.- Chapter 36 Using Transactions.- Chapter 37 Using Machine Learning.- Chapter 38 Leveraging Artificial Intelligence.

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