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Data Management at Scale

Modern Data Architecture with Data Mesh and Data Fabric - 2nd Edition

Parametry

  • 409 stron
  • 15 godzin czytania

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As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Wydanie

Zakup książki

Data Management at Scale, Piethein Strengholt

Język
Rok wydania
2023
Oprawa
(miękka),
Stan książki
Dobry
Cena
160,28 zł

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Tytuł
Data Management at Scale
Podtytuł
Modern Data Architecture with Data Mesh and Data Fabric - 2nd Edition
Język
angielski
Rok wydania
2023
Oprawa
miękka
Liczba stron
409
ISBN10
1098138864
ISBN13
9781098138868
Seria
Tagi
Biznes
Opis
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata