Enterprise Architecture

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.

Developer platforms promise to rewrite the laws of IT physics: they boost innovation through standards; they speed up development while assuring compliance; and they reduce cognitive load without restricting choice. Building such an in-house platform, or even deploying one, is far from easy, though. This book condenses a decade of building and rolling out platforms into practical advice for platform teams and users.5300+ happy readers! Also as Paperback edition

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.

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.

Lean Enterprise Architecture (LEA) redefines EA as a lean, value-driven discipline that bridges strategy, business, and technology. Instead of static blueprints, it shows you how to build adaptive architectures, enable transformation, and create measurable impact. Whether you are an enterprise architect, IT strategist, or business leader, LEA equips you to lead with clarity and influence.

Most teams don’t suffer from a lack of effort—they suffer from a lack of alignment. Goals are misaligned, boundaries are unclear, and work often centres on internal priorities instead of user needs— resulting in frustration and delays. User Needs Mapping: Aligning Teams Around What Matters offers a practical, visual way to reconnect organisations with the people they serve. Instead of guessing at structure or copying someone else’s model, this book shows you how to expose hidden dependencies, identify genuine user needs, and make better choices about team design and responsibilities. Through real-world case studies and step-by-step guidance, you’ll learn how to navigate tensions between wants, needs, and feasibility, create clarity of purpose, and build teams that deliver meaningful outcomes. Whether you’re a leader, product manager, architect, or change agent, this book equips you to turn complexity into clarity and enable teams to flow faster—aligned around what matters.

Strategy is the difference between making a wish and making it come true. To make your cloud journey a reality, and not just a wish, you’ll want to stay clear of buzzwords and product minutiae. Instead, focus on principles, decision models, and trade-offs that you can communicate broadly throughout your organization. This book tells you how. Paperback editionHardcover edition

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.

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.

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.

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.

LLMs and agentic AI are currently generating a great deal of hype. When applied correctly, they can deliver tremendous benefits. This book outlines the challenges involved in implementing these technologies within large enterprises—particularly in regulated environments. It serves as an accessible introduction for IT-focused executives and enterprise architects, while also proving useful for IT professionals in general who wish to explore the subject and avoid common project pitfalls.

Software and infrastructure only create value when they pull in the same direction as the business. This book shows IT leaders how to get there: from shaping IT strategy and the architecture roadmap to the daily discipline of IT and architecture governance, all built on a pattern-based approach that adapts to your organization rather than forcing it into a template.Grounded in established frameworks such as TOGAF, COBIT, and ITIL, it pairs solid fundamentals with numerous real-world examples — and gives growing weight to compliance and IT security, now central concerns of any IT management agenda.This English edition is based on the German standard work on the subject, fully revised in its 4th edition (late 2024). It is current with TOGAF 10 and reflects recent developments in business-oriented enterprise architecture — including the open-source tool EDGY and patterns for digital strategy — alongside the latest trends in IT risk management and cybersecurity architecture.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.