Data fabric and data mesh approaches with AI a guide to AI-based data cataloging, governance, integration, orchestration, and consumption

Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance—all designed to deliver "data as a product" within hybrid cloud landscapes. This...

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Bibliographic Details
Main Authors: Hechler, Eberhard, Weihrauch, Maryela (Author), Wu, Yan (Author)
Format: eBook
Published: New York, NY Apress 2023
Edition:[First edition]
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Part I
  • Data Fabric Foundation
  • Chapter 1: Evolution of Data Architecture
  • Chapter 2: Terminology
  • Data Fabric and Data Mesh
  • Chapter 3: Data Fabric and Data Mesh Use Case Scenarios
  • Chapter 4: Data Fabric and Data Mesh Business Benefits
  • Part II
  • Key Data Fabric Capabilities and Concepts
  • Chapter 5: Key Data Fabric and Data Mesh Capabilities
  • Chapter 6: Relevant AI and ML Concepts
  • Chapter 7: AI/ML for a Data Fabric and Data Mesh
  • Chapter 8: AI for Entity Resolution
  • Chapter 9: Data Fabric and Data Mesh for the AI Lifecycle
  • Part III
  • Deploying Data Fabric Solutions in Context
  • Chapter 10: Data Fabric Architecture Patterns
  • Chapter 11: Role of Data Fabric within an Enterprise Architecture
  • Chapter 12: Data Fabric and Data Mesh in Hybrid Cloud Landscape
  • Chapter 13: Intelligent Cataloging and Metadata Management
  • Chapter 14: Automated Data Fabric and Data Mesh Aspects
  • Chapter 15: Data Governance in the Context of Data Fabric and Data Mesh
  • Part IV
  • Current Offerings and Future Aspects
  • Chapter 16: Sample Vendor Offerings
  • Chapter 17: Data Fabric and Data Mesh Research Areas
  • Chapter 18: In Summary and Onwards
  • Abbreviations