Data fabric and data mesh approaches with AI : a guide to AI-based data cataloging, governance, integration, orchestration, and consumption / Eberhard Hechler, Maryela Weihrauch, Catherine Wu. 6
By: Hechler, Eberhard, 4 0 16 [, author.] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; New York : Apress, [2023]46Edition: Description: 24 cm. xxxii, 427 pages : illustrationsContent type: text Media type: unmediated;unmediated Carrier type: volumeISBN: 9781484292525ISSN: 2Other title: Data fabric and data mesh approaches with artificial intelligence. 6 []Uniform titles: | | Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Big data.;Artificial intelligence. -- -- -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
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| Book | PLM | PLM Circulation Section | Circulation-Circulating | QA76.9.B45 H43 2023 (Browse shelf) | Available | C37399 |
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Includes bibliographical references and index.
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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.
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