Enterprise Architecture

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.

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.

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.

The static IT audit is dead. This book replaces it with dynamic portfolio governance — the REAP methodology, mathematically quantified architecture debt, and FinOps for AI unit economics — and hands CTOs and enterprise architects the complete toolkit to fund the Gen AI transition by ruthlessly retiring legacy.

Point-to-point integration is dead. This book replaces it with the Connectivity Matrix — API governance, Event-Driven Architecture, LLM gateways with token cost management, and Team Topologies — and hands CTOs and enterprise architects the complete toolkit to bridge governed data and autonomous agents in the age of Agentic AI.

Gen AI on ungoverned data is a liability. This book hands you the complete toolkit to make data ownership the bedrock of compliance and Gen AI — GDPR lifecycle governance, Knowledge Graphs for accurate RAG, and EU data residency blueprints.

Build vs. Buy is dead. This book replaces it with the BBEC Framework — Buy, Build, Extend, Compose — and hands CTOs and enterprise architects the complete toolkit to source software strategically in the age of AI, under GDPR, NIS2, and the EU AI Act.

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.

What if time is not merely a clock, but a filter? What if systems fail not because they lack information, but because correction arrives too late to matter? What if technologies become dominant not because they are best, but because they have already reorganized the future around themselves? And what if Human–LLM collaboration is no longer just a sequence of prompts and answers, but an evolving ecology shaped by its own artifacts? Force–Information–Time: Essays on Structural Evolution is a companion volume to the FIT framework. Rather than restating the core theory, it explores what becomes visible when structural thinking is carried across learning, institutions, science, technology, Human–LLM collaboration, and human life.

‘Grip op data’ biedt een kennismaking met data gedreven werken, data management, databases en SQL. Het wordt aangeboden als combinatiepakket: dit leerboek, een online cursusomgeving en een databank met voorbeelden van datatoepassingen, datamodellen en data gedreven werkwijzen.