
Sách Data Mesh Delivering Data-Driven Value at Scale (sách keo gáy, bìa mềm)
Categories:Computers - Organization and Data Processing
Year:2022
Language:english
Pages:387
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