Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh 1st Edition 269112

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Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh 1st Edition - фото 1
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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 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. By 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 by clearly defining each data architecture
  • Know what architectures to use for each cloud provider
About the author
James Serra
James 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 lakehouse, 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 started his career as a software developer, then was a DBA for 12 years, and for the last twelve years he has been working extensively with business intelligence and data warehousing using numerous Microsoft technologies and tools. He has been at times a permanent employee, consultant, contractor, and owner of his own business. All these experiences along with continuous learning have helped him to develop many successful data warehouse and BI projects. He is a popular blogger and speaker, having presented at dozens of major events including SQLBits, PASS Summit, Data Summit and the Enterprise Data World conference.



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