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...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via O'Reilly/Safari)
Main Authors: Hechler, Eberhard (Author), Weihrauch, Maryela (Author), Wu, Yan (Author)
Other title:Data fabric and data mesh approaches with artificial intelligence
Format: eBook
Language:English
Published: New York, NY : Apress, [2023]
Edition:[First edition].
Subjects:
Description
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.
Physical Description:1 online resource (440 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781484292532
1484292537