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 as well as 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 weaknesses of each approach Distinguish data
architecture theory from 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 Free from product discussions this book will serve as a timeless
resource for years to come.
