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The Enterprise Data Architect in the Age of AI
Architecting the intelligent enterprise through cloud, lakehouse, data products and generative AI.
Organizations are no longer asking only how to store, integrate and govern data. They are asking how to make enterprise information usable by intelligent systems. This book shows how the data architect's role is changing, and introduces EDA-IQ, a framework that connects trusted data, information architecture, data platforms, semantic knowledge and enterprise intelligence.
- Data architects and senior data engineers
- Engineers moving from pipelines to architecture
- Platform, AI and analytics leaders building for generative AI
$15PDF · 519 pages · instant download
Secure checkout by Lemon Squeezy; your download link appears right after payment and arrives by email too. Or get all three books for $39. Written with AI assistance and reviewed by the author.
// contents
What's inside
Front matter 3 items
Part I — The Evolution of Enterprise Data Architecture 4 chapters
- 1The Enterprise Data Architect at an Inflection PointFree · 24 min
- 2Understanding the Modern EnterpriseFree · 21 min
- 3The Modern Enterprise Data Landscape Full book
- 4Enterprise Data Architecture Principles and Practices Full book
Part II — Designing the Modern Enterprise Data Architecture 6 chapters
- 5Enterprise Information Architecture and Data Modeling Full book
- 6Cloud-Native Enterprise Data Architecture Full book
- 7Data Lakes, Data Warehouses, and Lakehouse Architecture Full book
- 8Enterprise Data Integration Architecture Full book
- 9Data Engineering and Platform Architecture Full book
- 10Data Products, Data Mesh, and Domain-Oriented Architecture Full book
Part III — Architecting the AI-Ready Enterprise 6 chapters
- 11The Relationship Between Enterprise Data Architecture and AI Full book
- 12Enterprise Generative AI Architecture Full book
- 13RAG, Vector Databases, and Enterprise Knowledge Retrieval Full book
- 14Semantic Architecture, Knowledge Graphs, and Enterprise Context Full book
- 15Agentic AI and Intelligent Enterprise Architecture Full book
- 16Enterprise Decision Intelligence Full book
Part IV — Trust, Governance, and Enterprise Control 4 chapters
- 17Modern Enterprise Data Governance Full book
- 18Security, Privacy, and Responsible AI Architecture Full book
- 19Data Quality, Observability, and Trust Engineering Full book
- 20Enterprise Data and AI Operating Model Full book
Part V — The Future of Enterprise Data Architecture 5 chapters
- 21Enterprise Data Modernization and Transformation Full book
- 22Building Enterprise Data and AI Reference Architecture Full book
- 23Enterprise Data Architect as Strategic Leader Full book
- 24The Future of the Enterprise Data Architect Full book
- 25From Data Architecture to Enterprise Intelligence Full book
- Conclusion: The Architect of Enterprise Intelligence Full book
Appendices 11 items
- AEnterprise Data Architecture Principles Catalog Full book
- BArchitecture Decision Record Template Full book
- CEnterprise Data Architecture Capability Model Full book
- DCloud and Lakehouse Architecture Patterns Full book
- EData Product Design Template Full book
- FAI and RAG Architecture Patterns Full book
- GData Governance and Security Checklist Full book
- HGlossary Full book
- IEDA-IQ Maturity Assessment Full book
- References and Further Reading Full book
- About the AuthorFree · 2 min