Books

Your API deserves more than just working, it deserves to be exceptional.

What's the difference between knowing about cybersecurity and actually doing cybersecurity? Practice with real tools on real problems. This field guide takes you from theory to practice with hands-on AWS, Linux, Python, Splunk, and SQL skills. Learn through actual incident response scenarios, not sanitized demos. Build working security solutions you can deploy tomorrow.

Data-architectuur in de praktijk is hét handboek voor elke data-architect én zijn omgeving. Wie dit boek gelezen heeft is thuis in termen als: data-principes en -patronen, datamodellen en repositories.

Learn how real databases work by following this practical guide to building your own in a programming language of your choice.Build a language from scratch- Create an interpreter that can parse, type check and run SQL queries. Start with running simple queries and build up to more complex ones.Learn SQL (the fun way) - Gain a deeper understanding of SQL. Cover the order of execution of queries, how SQL uses ternary logic and the techniques that databases use to join and group data efficiently. Compare your implementation with databases such as PostgreSQL, MySQL, SQLite and DuckDB.Improve as a programmer- The perfect project to practice how to structure and refactor code as you grow the feature set of your database server. The 200+ included test cases provide a safety net for refactoring your code, giving you freedom to experiment. Learn computer science topics including creating a recursive descent parser, building a type checker and implementing iterators.

ہر بڑی ایپلیکیشن کے پیچھے، ایک منفرد کہانی چھپی ہوتی ہے جو ہمیں بتاتی ہے کہ کس طرح اُس نے اپنے آغاز سے لے کر کروڑوں اور اربوں صارفین کو ہینڈل کرنے کے لیے اپنے سسٹم کو بہتر بنایا۔ اس میں، ہم چند مشہور پلیٹ فارمز کی سکیلنگ کی کہانیوں پر نظر ڈالیں گے اور دیکھیں گے کہ انہوں نے کن چیلنجز کا سامنا کیا، کن ٹیکنالوجیز کا استعمال کیا، اور کس طرح اپنے آرکیٹیکچر کو بدلتے وقت اور بڑھتی ہوئی ضروریات کے مطابق ڈھالا۔ یہ کہانیاں نہ صرف بڑی کمپنیوں کے کامیاب سسٹمز کی گواہی ہیں، بلکہ ہمیں یہ سیکھنے کا موقع بھی دیتی ہیں کہ ہم اپنے پروجیکٹس کو کس طرح بہتر بنا سکتے ہیں، چاہے وہ چھوٹے پیمانے کے ہوں یا بڑے۔ ان سکیلنگ کی کہانیوں میں جھانکنے کا مقصد، دراصل سافٹ ویئر انجینئرنگ کے بہترین اصولوں اور غیر معمولی ڈیزائن کے فیصلوں کا جائزہ لینا ہے

Engineering Leadership in Regulated Environments: A CTO’s HandbookBy Chrysovalantis D. Koutsoumpos In regulated industries, engineering leaders face a unique challenge: how to build systems that move fast without breaking rules, and scale teams without losing clarity or control. This book offers practical guidance drawn from real-world experience — designed for engineering leaders who operate in environments where compliance, trust, and delivery must coexist. Covering 30 focused chapters, it explores topics like team structures, architecture, risk management, audit readiness, product delivery frameworks, and long-term strategy. Each chapter includes actionable insights, tools, and approaches that help bridge the gap between technical leadership and regulatory expectations. Whether you're leading engineering at a fintech, healthcare company, or any compliance-heavy organization, this handbook provides a thoughtful and pragmatic reference to support your growth — and your team’s.

In today’s project-based, SCRUM “infested” web development work scene you are either a Junior starting out or a Senior who lacks in-depth knowledge. There seems to be no in-between! After reading this book you will be a Medior PHP Developer who can deliver a fully-fledged API from start to finish!

Von handgeschriebenen Notizen der 50er Jahre bis zur KI-Analyse von heute: Als der Dateningenieur Max Datini beim Rennteam Velocità Racing anheuert, entdeckt er in verstaubten Archiven die Datengeschichte der Formel 1.Seine Aufgabe: Sieben Jahrzehnte Rennwissen in ein zukunftssicheres Datensystem überführen. Dabei erkennt er, dass die flexible Data Vault 2.0-Architektur mit Hubs, Links und Satellites perfekt zur dynamischen Welt des Motorsports passt.In dieser einzigartigen Verbindung von Technik und Erzählung erleben Sie die spektakuläre Evolution des Rennsports und der Datenverarbeitung. Von Don Vittorios intuitiven Aufzeichnungen über die Schumacher-Ära bis zur Big-Data-Revolution.Für alle, die verstehen wollen, wie die richtige Datenstrategie zum entscheidenden Vorsprung führt – auf der Rennstrecke wie im Geschäftsleben.

Prepare for MySQL with ease by upgrading and migrating legacy databases to latest MySQL 9

This book offers beginners and backend developers with practical guidance on developing robust server-side applications with Java 17. Each chapter is structured around hands-on examples, real-world challenges, and step-by-step solutions tailored to Java professionals aiming to elevate their expertise in backend systems.

Achieve data engineering excellence with this comprehensive guide. Learn essential best practices, design patterns, and real-world use cases to architect robust, cost-effective data solutions in the cloud.

Master essential data concepts and Azure services with this comprehensive guide packed with practical examples, exam tips, flashcards, and mock exams to prepare you to confidently take the DP-900 exam.

This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.

"How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

This book shows you how to effectively use Power BI, covering everything from Fact tables and Dimension tables to different data modeling techniques. With the help of real-world scenarios, you'll be able to identify when, why, where, and how to prepare data to support an efficient Star Schema to satisfy business requirements.