Books

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.

As banks treat their software assets more like products, monolithic infrastructure is decomposing into reusable, API-first components. Within API Strategy for Open Banking, we present a holistic API perspective on open banking, featuring best practices and case studies from some of the world's leading open banking initiatives.

Industrial systems and smart buildings are increasingly connected, creating new opportunities for cyberattacks. This book explores the threats, vulnerabilities and security challenges facing modern infrastructure, with practical guidance on protecting industrial networks and building automation systems using proven architectures, established standards and lessons drawn from real-world incidents.

We will define the developer contract first, and we will then build the platform underneath it together, step by step, using decisions that hold up in regulated environments and in small startups alike. Along the way, we will provision clusters, wire delivery, publish a developer API, enforce policy and ship observability, and we will do all of it where you can see every command, every manifest and every failure. Nothing here stays theoretical, because platform problems only show their true shape where an abstraction meets a real cluster.

Java is entering a new era of faster releases, modern JVMs and evolving enterprise demands. This practical guide helps architects, platform engineers and senior developers navigate LTS upgrades, modernization, migration, performance, security and cloud deployment with clear strategies and production-ready guidance.

Master Spring Boot from the ground up and learn what it takes to build software that is ready for the real world. From Java fundamentals to secure microservices, testing and production deployment, this practical guide turns modern Spring Boot concepts into skills you can confidently put to work.

You know how to build classes in Protégé. But do you know when to attach meaning — and when to wait?Volume 4 of "Mastering Ontology Engineering" introduces SKDL: the Semantic Knowledge Development Lifecycle. Seven stages. One discipline. Zero guesswork.From Aristotle to Description Logic. From taxonomy to executable knowledge.This is where pizza -> philosophy — and philosophy -> engineering.

Building an impressive AI agent demo is easy. Running one in production—reliably, at scale, with governance—is where most enterprises get stuck. Agentic Orchestration shows how BPMN-based process orchestration governs AI agents at scale, drawing on real deployments across banking, telecom, and healthcare. Reasoning without orchestration is expensive chaos. This book shows the way out.

Turn a static class hierarchy into a real semantic graph: object properties, inverse properties, property characteristics, and domain and range, all hands-on in Protege.

Master Ontology Engineering with Protégé and the EKA Framework—Volume 1 of a multi-volume series that teaches ontology engineering hands-on through the Pizza.owl tutorial and connects it to a modern framework for building executable semantic systems.

IBM Enterprise COBOL has powered enterprise systems for decades and remains essential to modern mainframe computing. This practical guide covers COBOL fundamentals, modern IBM Enterprise COBOL features, database integration, transaction processing, web services and performance tuning to help you build and maintain reliable business applications.