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...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Apress
[2023]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484292532/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (440 Seiten) illustrations |
| ISBN: | 9781484292532 1484292537 |
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| spelling | Hechler, Eberhard VerfasserIn aut 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 [First edition]. New York, NY Apress [2023] 1 Online-Ressource (440 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index 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. Big data Artificial intelligence Données volumineuses Intelligence artificielle artificial intelligence Weihrauch, Maryela VerfasserIn aut Wu, Yan VerfasserIn aut |
| spellingShingle | Hechler, Eberhard Weihrauch, Maryela Wu, Yan Data fabric and data mesh approaches with AI a guide to AI-based data cataloging, governance, integration, orchestration, and consumption Big data Artificial intelligence Données volumineuses Intelligence artificielle artificial intelligence |
| title | Data fabric and data mesh approaches with AI a guide to AI-based data cataloging, governance, integration, orchestration, and consumption |
| title_auth | Data fabric and data mesh approaches with AI a guide to AI-based data cataloging, governance, integration, orchestration, and consumption |
| title_exact_search | Data fabric and data mesh approaches with AI a guide to AI-based data cataloging, governance, integration, orchestration, and consumption |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | Data fabric and data mesh approaches with AI |
| title_sort | data fabric and data mesh approaches with ai a guide to ai based data cataloging governance integration orchestration and consumption |
| title_sub | a guide to AI-based data cataloging, governance, integration, orchestration, and consumption |
| topic | Big data Artificial intelligence Données volumineuses Intelligence artificielle artificial intelligence |
| topic_facet | Big data Artificial intelligence Données volumineuses Intelligence artificielle artificial intelligence |
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