
Deciphering Data Architectures
Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
James Serra(Author)
O'Reilly (Publisher)
Published on 20. February 2024
Book
Paperback/Softback
225 pages
978-1-0981-5076-1 (ISBN)
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Dimensions
Height: 242 mm
Width: 177 mm
Thickness: 16 mm
Weight
484 gr
ISBN-13
978-1-0981-5076-1 (9781098150761)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
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Person
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 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.