Fr. 99.00

Data Management at Scale - Modern Data Architecture with Data Mesh and Data Fabric

Englisch · Taschenbuch

Versand in der Regel in 4 bis 7 Arbeitstagen

Beschreibung

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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


Über den Autor / die Autorin










Piethein Strengholt works as the chief data officer for Microsoft Netherlands. In this exciting role he acts as a counterpart to CDO-executives for large enterprises and is a driving force in the community and alignment with the product group. Piethein is also a prolific blogger and regularly speaks about the latest trends in data mesh, data governance, and strategy at scale. He lives in the Netherlands with his family.

Produktdetails

Autoren Piethein Strengholt
Verlag O'Reilly
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 31.07.2023
 
EAN 9781098138868
ISBN 978-1-09-813886-8
Abmessung 178 mm x 233 mm x 24 mm
Gewicht 696 g
Themen Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik

Database design and theory, COMPUTERS / Database Administration & Management, Database design & theory

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