Data Fabric and Data Mesh Approaches with AI : A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and Consumption / by Eberhard Hechler, Maryela Weihrauch, Yan (Catherine) Wu.

Format:

Book

Author/Creator:

Hechler, Eberhard, author.

Weihrauch, Maryela, author.

Wu, Yan (Catherine), author.

Language:

English

Subjects (All):

Artificial intelligence.

Big data.

Data structures (Computer science).

Information theory.

Artificial Intelligence.

Big Data.

Data Structures and Information Theory.

Local Subjects:

Artificial Intelligence.

Big Data.

Data Structures and Information Theory.

Physical Description:

1 online resource (440 pages)

Edition:

1st ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

Summary:

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 data governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management. What You Will Learn Discover best practices and methods to successfully implement a data fabric architecture and data mesh solution Understand key data fabric capabilities, e.g., self-service data discovery, intelligent data integration techniques, intelligent cataloging and metadata management, and trustworthy AI Recognize the importance of data fabric to accelerate digital transformation and democratize data access Dive into important data fabric topics, addressing current data fabric challenges Conceive data fabric and data mesh concepts holistically within an enterprise context Become acquainted with the business benefits of data fabric and data mesh.

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.

Notes:

Includes bibliographical references and index.

ISBN:

1-4842-9253-7

OCLC:

1375477710