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Many enterprises are investing in a next-generation
data lake, hoping to democratize data at scale to provide business
insights and ultimately make automated intelligent decisions. In this
practical book, author Zhamak Dehghani reveals that, despite the time,
money, and effort poured into them, data warehouses and data lakes fail
when applied at the scale and speed of today's organizations. A
distributed data mesh is a better choice. Dehghani guides architects,
technical leaders, and decision makers on their journey from monolithic
big data architecture to a paradigm that draws from modern distributed
architecture. A data mesh considers domains as a first-class concern,
applies platform thinking to create self-serve data infrastructure, and
treats data as a product. This book shows you why and how. Examine the
current landscape of data architectures, their underlying
characteristics, and failure modes Learn how to divide data (and its
supporting technology stacks and architecture) into operational data and
analytical data Get a complete introduction to data mesh principles and
logical architecture Create a foundation for gaining value from
analytical data and historical facts at scale Move beyond a monolithic
data lake to a distributed data mesh
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Computers - Organization and Data Processing
Year:2022
Publisher:O'Reilly Media
Language:english
Pages: 387
