Название: Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric, Second Edition (Fourth Early Release)Автор: Piethein Strengholt
Издательство: O’Reilly Media, Inc.
Год: 2023-01-11
Страниц: 204
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB
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.
In the Chapter 1 I’ll discuss each of these and its influence on data management. Firstly, analytics is fragmenting the data landscape because of use case diversity; Secondly, new software development methodologies make data harder to manage; Thirdly, cloud computing and faster networks fragment data landscapes; Fourthly, there are privacy, security, and regulatory concerns; Fifthly, the rapid growth of data and intensive data consumption make operational systems suffer; Lastly, data monetization requires an ecosystem-to-ecosystem architecture. The impact these trends have on data management are tremendous and force the whole industry to rethink how data management must be conducted in the future.
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
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