Enterprise Data Architecture Handbook: Data Modelling, Information Architecture, Governance and AI-Ready Enterprise Platforms

Modern organisations do not simply need more data. They need trusted, well-structured and governed information that can support operational decisions, analytics and artificial intelligence. Enterprise Data Architecture Handbook provides a practical guide to designing enterprise information and data environments that are coherent, scalable and ready for the AI era. It moves beyond traditional database design to explain how data modelling, information architecture, metadata, governance, integration and platform strategy work together. The book covers: Conceptual, logical and physical data modelling Canonical and semantic models Taxonomies, ontologies and knowledge structures Enterprise information architecture Metadata, lineage and data quality Master and reference data management Data governance and ownership Data products, data mesh and federated operating models Cloud, lakehouse and modern data-platform architecture AI-ready information foundations Architecture principles, controls and implementation roadmaps The handbook connects business capabilities, information domains, systems, data flows and technology platforms into one practical architecture framework. It also explains how organisations can establish authoritative information, common meaning, measurable quality and accountable governance across complex enterprise environments. Written for enterprise architects, data architects, information architects, data leaders, governance professionals, solution architects and transformation teams, this book provides reusable models, principles and implementation guidance for turning fragmented data estates into trusted enterprise information ecosystems. Enterprise Data Architecture Handbook is for professionals who need to design data architecture that supports today’s business while creating a reliable foundation for analytics, automation and AI.