Books

Passage 1 — Chapter 9, "Data Security": a definition that sets the technical tone immediately A hacker is someone skilled at finding undocumented techniques and loopholes in the tangled architecture of complex information systems; by intent, a "white hat" looks for such loopholes in order to strengthen the system, while a "black hat" uses them to steal or to cause harm. Passage 2 — Chapter 14, "Metadata Management": an image that explains the whole topic in one paragraph A vivid illustration: an enormous document archive with no index at all — the shelves are full, but there is no way to find out what sits on them short of examining every single box by hand. That is exactly what an organization looks like when it has piled up mountains of data without also taking care of metadata — the information physically exists, but it cannot be used systematically, since the only way to find what is needed is to already know where it sits. Knowledge about data is always scattered: in a large company, one person carries the structure of a single database in their head, another the rules of a single integration, a third the history of a single metric, and nobody holds the complete picture. Passage 3 — Chapter 15, "Data Quality Management, Part 1": why "quality" is an empty word without a yardstick A postal address missing an apartment number works perfectly well for a mass catalog mailing and works terribly for a courier who has to knock on the right door — and in both cases it is the very same row in the very same database, only the yardstick applied to it differs. Passage 4 — Chapter 21, "Organizational Change Management": the book's closing summary Data governance, the coordinating hub of eleven knowledge areas this book opened with, stays an empty frame until specific people come to value the new way of working with data through their own experience — which is exactly why a book that began by mapping the circle of disciplines around that hub fittingly closes not with another technique or tool, but with a conversation about the person without whose deliberate participation no structure ever becomes a practice.

Linux System Hardening is a practical guide to securing Linux systems from the kernel to the cloud. It explains how threats work, how to apply effective controls and what you give up along the way. Built for admins, security engineers and DevSecOps teams working with real production systems.

Static code analysis is more than running a linter and fixing warnings. This book shows how to build practical analysis pipelines with Claude Code and deterministic tools, combining AI-driven insights with reliable checks to improve code quality and security across projects of any size.

A working engineer’s introduction to tall-building design: one reference tower, eleven worked examples, and an honest account of where a screening calculation stops.

Mastering AWS: Advanced Python Engineering About the Book: "Mastering AWS: Advanced Python Engineering" is a comprehensive, deep-dive manual written for senior software engineers, DevOps specialists, and cloud architects who want to push the boundaries of infrastructure automation.

Passage 1 — Chapter 8, "Data Quality: Can the Board Trust Its Own Numbers": what bad data actually costs a leader Business folklore has long carried a caustic image: a machine that hands back garbage on the way out once it has been fed garbage on the way in — the old saying that poor input inevitably produces poor output, which this book already invoked earlier to explain why data quality went neglected for so long. It is worth taking that image seriously here and translating it into terms a leader can act on: exactly how much the input garbage costs a company, and by what test to recognize the moment a figure on a board slide becomes too risky to trust. Passage 2 — Chapter 9, "Analytics for Business: Data Warehousing and Metadata": a scene that stays with the reader Picture a board meeting: a single figure sits on the screen — quarterly revenue, say, or the share of customers who defected to a competitor — and one of the directors simply asks where that number came from. The pause that falls over the room while someone runs off to fetch an explanation from whoever put the report together says more about the state of trust in a company's analytics than any presentation ever could. Passage 3 — Chapter 11, "Data Management Maturity Assessment": maturity as something measured, not graded The practical conclusion for a leader is this: a maturity rung is not a verdict of "good" or "bad" — it measures how controlled and predictable a company's data work actually is. The higher the rung, the fewer surprises, and the more accurately a leader can forecast the consequences of decisions built on that data. Passage 4 — Chapter 13, "Managing Organizational Change in Data Management": the book's closing argument Taken together, the material across all thirteen chapters gives a leader a coherent view of data — from understanding it as a business asset to a concrete toolkit for leading organizational change. The architectural choices, technological infrastructure, and quality-control procedures examined earlier remain unrealized potential until someone at the most senior level of management personally takes on the work of carrying people through resistance and turning that potential into the company's everyday working habit.

Learn Dart the right way — from your very first "Hello, World" to advanced topics like Foreign Function Interface, code generation, and modern Dart 3 pattern matching.This comprehensive, 32-chapter guide is designed for complete beginners as well as developers who want a deep, structured reference to Dart — the language behind Flutter and a growing number of command-line and backend applications.What you'll learn:Dart fundamentals: variables, data types, operators, and control flowFunctions, collections (List, Set, Map), and sound null safetyObject-oriented programming: classes, inheritance, mixins, and interfacesGenerics and robust exception handlingAsynchronous programming with Future, async/await, and StreamsModern Dart 3 features: records, pattern matching, and sealed classesExtension methods and zero-cost extension typesIsolates and concurrency for true parallelismDart FFI for calling native C librariesCreating, testing, and publishing your own Dart packagesCode generation with build_runner and json_serializablePub workspaces for monorepo projectsEffective Dart linter rules and professional best practicesEvery chapter includes clear explanations and runnable code examples you can try immediately in DartPad or your local environment. A complete course index at the start and a quick-reference cheat sheet at the end make this book easy to navigate and revisit.Whether you're a student, a self-taught developer, or preparing to build your first Flutter app, this book gives you a solid, complete foundation in Dart — one chapter at a time.

AI is changing fast, and so are the security risks that come with it. This practical guide shows security and technology leaders how to govern, secure and assure AI systems from design through deployment and beyond. Packed with proven frameworks, controls and real-world guidance, it turns complex AI security requirements into practical action.

A flexible, beginner-friendly plant-based system designed to support IBS, diabetes, digestion, and overall wellness. Includes 5 EcoVolt Living guides in one unified digital bundle.

The first ITIL®-aligned practice guide to structure Customer Success as a complete organisational capability. It brings comprehensive IT service management thinking into CS, integrating governance, processes, people, information, technology, partners, and continual improvement into a coherent operating model, with practical methods and tools to design, govern, assess, and improve it.

Good software is not about following rules. It is about knowing when they apply. This book explores the judgment behind building software that lasts, from choosing simplicity over cleverness to balancing today’s needs with tomorrow’s costs. Practical, thoughtful and focused on decisions, not dogma.

A practical implementation framework covering 22 essential data center operational domains. Assess gaps, establish priorities and build a controlled improvement roadmap.

Unlock the Power of Google Cloud Platform!"As a professional, I'm not paid just for what I know but for my thought process and the decisions I take to make my architecture optimal." — Sudhanshu Jaiswal🌟 Ever wondered how to harness the full potential of Google Cloud Platform?GCP - A Walkthrough is your ultimate guide to mastering the cloud with expert insights, strategic decision-making, and hands-on best practices. Whether you're migrating workloads, optimizing costs, or building scalable architectures, this book equips you with the knowledge to design, deploy, and manage GCP solutions like a pro.From cost optimization and IAM to big data, AI, and security, dive into a comprehensive walkthrough that transforms your cloud journey. Stop guessing—start optimizing!

Turn complex technology risks into clear, evidence-based executive decisions through visual flows, practical guidance, and a fully fictional enterprise case.

Unlock the full potential of Claude Fable 5.1 with practical prompting techniques built for real-world work. Learn how to get better results from coding, research and complex workflows, avoid common mistakes and build reliable AI systems with proven strategies and ready-to-use prompts.