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 sociotechnical 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 treats data as a product and introduces a federated and computational model of
data governance. This book shows you why and how. Examine the current data landscape from the
perspective of business and organizational needs environmental challenges and existing
architectures Analyze the landscape's underlying characteristics and failure modes Get a
complete introduction to data mesh principles and its constituents Learn how to design a data
mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
