Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Language: English
Published by O'reilly Media Feb 2024, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 73.74
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9781098150761
- Title
- Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
- Author
- James Serra
- Publisher
- O'reilly Media Feb 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1098150767
- ISBN 13
- 9781098150761
- Item weight
- 484 grams
- Dimensions
- 242x177x16 mm
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.
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"About the title" may belong to another edition of this title.
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