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...
Otros Autores: | , , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress
2023.
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Edición: | 1st ed. 2023. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009730928506719 |
Tabla de Contenidos:
- 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.