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Data Fabric and Data Mesh Approaches with AI: A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and Consumption
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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
March 2023
Intermediate to advanced
440 pages
8h 28m
English
Apress
Content preview from Data Fabric and Data Mesh Approaches with AI: A Guide to AI-based Data Cataloging, Governance, Integration, Orchestration, and Consumption
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
E. Hechler et al.Data Fabric and Data Mesh Approaches with AIhttps://doi.org/10.1007/978-1-4842-9253-2_1

1. Evolution of Data Architecture

Eberhard Hechler1  , Maryela Weihrauch2 and Yan (Catherine) Wu3
(1)
Sindelfingen, Germany
(2)
Charlotte, NC, USA
(3)
San Jose, CA, USA
 

This chapter introduces the motivation for looking into data architectures. It shares an overview about data architecture evolution transitioning from traditional data warehouses to big data and data lakes and their main characteristics, values, and challenges. It outlines industry requirements in a data-driven world that ultimately led to the concept of a Data Fabric.

Introduction

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Publisher Resources

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