Description

Book Synopsis

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 book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience.

By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unified d

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.

Data Fabric and Data Mesh Approaches with AI

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    Order before 4pm today for delivery by Mon 22 Jun 2026.

    A Paperback by Eberhard Hechler, Maryela Weihrauch, Yan (Catherine) Wu

    1 in stock


      View other formats and editions of Data Fabric and Data Mesh Approaches with AI by Eberhard Hechler

      Publisher: APress
      Publication Date: 1/1/2023 12:04:00 AM
      ISBN13: 9781484292525, 978-1484292525
      ISBN10: 1484292529

      Description

      Book Synopsis

      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 book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience.

      By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unified d

      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.

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