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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
[2023]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Hechler, Eberhard, |e author. | |
| 245 | 1 | 0 | |a Data fabric and data mesh approaches with AI : |b a guide to AI-based data cataloging, governance, integration, orchestration, and consumption / |c Eberhard Hechler, Maryela Weihrauch and Yan (Catherine) Wu. |
| 246 | 3 | |a Data fabric and data mesh approaches with artificial intelligence | |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a New York, NY : |b Apress, |c [2023] | |
| 300 | |a 1 online resource (440 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a Part I -- Data Fabric Foundation -- Chapter 1: Evolution of Data Architecture -- Chapter 2: Terminology -- Data Fabric and Data Mesh -- Chapter 3: Data Fabric and Data Mesh Use Case Scenarios -- Chapter 4: Data Fabric and Data Mesh Business Benefits -- Part II -- Key Data Fabric Capabilities and Concepts -- Chapter 5: Key Data Fabric and Data Mesh Capabilities -- Chapter 6: Relevant AI and ML Concepts -- Chapter 7: AI/ML for a Data Fabric and Data Mesh -- Chapter 8: AI for Entity Resolution -- Chapter 9: Data Fabric and Data Mesh for the AI Lifecycle -- Part III -- Deploying Data Fabric Solutions in Context -- Chapter 10: Data Fabric Architecture Patterns -- Chapter 11: Role of Data Fabric within an Enterprise Architecture -- Chapter 12: Data Fabric and Data Mesh in Hybrid Cloud Landscape -- Chapter 13: Intelligent Cataloging and Metadata Management -- Chapter 14: Automated Data Fabric and Data Mesh Aspects -- Chapter 15: Data Governance in the Context of Data Fabric and Data Mesh -- Part IV -- Current Offerings and Future Aspects -- Chapter 16: Sample Vendor Offerings -- Chapter 17: Data Fabric and Data Mesh Research Areas -- Chapter 18: In Summary and Onwards -- Abbreviations. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Big data |2 fast | |
| 700 | 1 | |a Weihrauch, Maryela, |e author. | |
| 700 | 1 | |a Wu, Yan, |e author. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484292532/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL7233644 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH41349399 | ||
| 994 | |a 92 |b IZTAP | ||