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_a9781484292525
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_aHechler, Eberhard,
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245 0 _a
_aData fabric and data mesh approaches with AI :
_d
_ba guide to AI-based data cataloging, governance, integration, orchestration, and consumption /
_n
_cEberhard Hechler, Maryela Weihrauch, Catherine Wu.
_h6
_p
246 _a
_aData fabric and data mesh approaches with artificial intelligence.
_b
_n
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_f6
_p
249 _i
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250 _6
_6
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260 _e
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264 _3
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_aNew York :
_d
_bApress,
_c[2023]46
300 _e
_e
_c24 cm.
_axxxii, 427 pages :
_billustrations
310 _a
_a
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321 _a
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336 _b
_atext
_2rdacontent
337 _3
_30
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_aunmediated;unmediated
_2rdamedia;rdamedia
338 _3
_30
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_avolume
_2rdacarrier
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_c56
504 _a
_aIncludes bibliographical references and index.
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_aUnderstand 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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_aBig data.;Artificial intelligence.
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700 _i
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_eauthor.;author.
_aWeihrauch, Maryela,;Wu, Catherine,
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