Deciphering Data Architectures

James Serra

ISBN 10: 1098150767 / ISBN 13: 9781098150761

Published by O'Reilly Media, US, 2024

About this Item

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 architecturesKnow the pros and cons of each approachDistinguish data architecture theory from the realityLearn to pick the best architecture for your use caseUnderstand the differences between data warehouses and data lakesLearn common data architecture concepts to help you build better solutionsAlleviate confusion by clearly defining each data architectureKnow what architectures to use for each cloud provider.

Seller Inventory # LU-9781098150761

Bibliographic Details

• Title: Deciphering Data Architectures
• Publisher: O'Reilly Media, US
• Publication Date: 2024
• Language: English
• ISBN 10: 1098150767
• ISBN 13: 9781098150761
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.

About the Author

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.