Data fabric and data mesh approaches with AI : a guide to AI-based data cataloging, governance, integration, orchestration, and consumption / Eberhard Hechler, Maryela Weihrauch and Yan (Catherine) Wu.
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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Main Authors: | , , |
Other title: | Data fabric and data mesh approaches with artificial intelligence |
Format: | eBook |
Language: | English |
Published: |
New York, NY :
Apress,
[2023]
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Edition: | [First edition]. |
Subjects: |
Table of Contents:
- 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.