Normal view MARC view ISBD view

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: | | Related works: 1 40 Weihrauch, Maryela,;Wu, Catherine, 6 [author.;author.]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:

Contents:

Action note: In: 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. Other editions:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes
Comments ( 0 )

Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Circulation Section	Circulation-Circulating	QA76.9.B45 H43 2023 (Browse shelf)	Available		C37399

Total holds: 0

Browsing PLM Shelves , Shelving location: Circulation Section , Collection code: Circulation-Circulating Close shelf browser

Previous		No cover image available			No cover image available		No cover image available	Next
Previous	QA76.9.A73 M37 1991 Systems application architecture : common user access /	QA76.9.A73 M87 2000 Principles of computer architecture /	QA76.9.A93 H35 2017 Information technology auditing /	QA76.9.B45 H43 2023 Data fabric and data mesh approaches with AI : a guide to AI-based data cataloging, governance, integration, orchestration, and consumption /	QA76.9.C55 R46 1993 Introduction to client/server systems : a practical guide for systems professionals /	QA76.9.C55 R83 1997 Practical analysis and design for client/server and GUI systems /	QA76.9.C643 S73 2000 Computer organization and architecture : designing for performance /	Next

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.

There are no comments for this item.

to post a comment.