"Data fabric data lakehouse and data mesh have recently appeared as viable alternatives to
the modern data warehouse. These new architectures have solid benefits but they're also
surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of
these architectures to help data professionals understand the pros and cons of each. James
Serra big data and data warehousing solution architect at Microsoft examines common data
architecture concepts including how data warehouses have had to evolve to work with data lake
features. You'll learn what data lakehouses can help you achieve and how to distinguish data
mesh hype from reality. Best of all you'll be able to determine the most appropriate data
architecture for your needs. With this book you'll: gain a working understanding of several
data architectures learn the strengths and weakness of each approach distinguish data
architecture theory from the reality pick the best architecture for your use case understand
the differences between data warehouses and data lakes learn common data architecture concepts
to help you build better solutions explore the historical evolution and characteristics of
data architectures learn essentials of running an architecture design session team
organization and project success factors."--
