Neeraj Bhatyal

Books / The Enterprise Data Architect in the Age of AI

Cover of The Enterprise Data Architect in the Age of AI by Neeraj Bhatyal
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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
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// contents

What's inside

Front matter 3 items
  1. Preface3 min
  2. How to Read This Book2 min
  3. Introduction: The Emergence of the Intelligent Enterprise6 min
Part I — The Evolution of Enterprise Data Architecture 4 chapters
  1. 1The Enterprise Data Architect at an Inflection Point24 min
  2. 2Understanding the Modern Enterprise21 min
  3. 3The Modern Enterprise Data Landscape22 min
  4. 4Enterprise Data Architecture Principles and Practices18 min
Part II — Designing the Modern Enterprise Data Architecture 6 chapters
  1. 5Enterprise Information Architecture and Data Modeling16 min
  2. 6Cloud-Native Enterprise Data Architecture16 min
  3. 7Data Lakes, Data Warehouses, and Lakehouse Architecture17 min
  4. 8Enterprise Data Integration Architecture17 min
  5. 9Data Engineering and Platform Architecture17 min
  6. 10Data Products, Data Mesh, and Domain-Oriented Architecture19 min
Part III — Architecting the AI-Ready Enterprise 6 chapters
  1. 11The Relationship Between Enterprise Data Architecture and AI20 min
  2. 12Enterprise Generative AI Architecture20 min
  3. 13RAG, Vector Databases, and Enterprise Knowledge Retrieval34 min
  4. 14Semantic Architecture, Knowledge Graphs, and Enterprise Context24 min
  5. 15Agentic AI and Intelligent Enterprise Architecture23 min
  6. 16Enterprise Decision Intelligence25 min
Part IV — Trust, Governance, and Enterprise Control 4 chapters
  1. 17Modern Enterprise Data Governance25 min
  2. 18Security, Privacy, and Responsible AI Architecture26 min
  3. 19Data Quality, Observability, and Trust Engineering23 min
  4. 20Enterprise Data and AI Operating Model20 min
Part V — The Future of Enterprise Data Architecture 5 chapters
  1. 21Enterprise Data Modernization and Transformation21 min
  2. 22Building Enterprise Data and AI Reference Architecture21 min
  3. 23Enterprise Data Architect as Strategic Leader18 min
  4. 24The Future of the Enterprise Data Architect18 min
  5. 25From Data Architecture to Enterprise Intelligence18 min
  6. Conclusion: The Architect of Enterprise Intelligence7 min
Appendices 11 items
  1. AEnterprise Data Architecture Principles Catalog3 min
  2. BArchitecture Decision Record Template2 min
  3. CEnterprise Data Architecture Capability Model2 min
  4. DCloud and Lakehouse Architecture Patterns2 min
  5. EData Product Design Template2 min
  6. FAI and RAG Architecture Patterns2 min
  7. GData Governance and Security Checklist2 min
  8. HGlossary5 min
  9. IEDA-IQ Maturity Assessment2 min
  10. References and Further Reading3 min
  11. About the Author2 min

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