Deciphering Data Architectures (Bestseller)

All Indian Reprints of O'Reilly are printed in GrayscaleData 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 a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons.In the process, 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.  reading this book, you'll:
Gain a working understanding of several data architectures
Know the pros and cons of each approach
Distinguish data architecture theory from the reality
Learn to 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
Alleviate confusion clearly defining each data architecture
Know what architectures to use for each cloud provider
About the Author James Serra works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last nine years. He is a thought leader in the use and application of Big Data and advanced analytics, including data architectures such as the modern data warehouse, data lake house, data fabric, and data mesh. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. He is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of major events including SQLBits, PASS Summit, Data Summit and the Enterprise Data World conference.