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Deciphering Data Architectures
Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
By: James Serra
Paperback | 20 February 2024
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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 be 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.
ISBN: 9781098150761
ISBN-10: 1098150767
Published: 20th February 2024
Format: Paperback
Language: English
Number of Pages: 225
Audience: General Adult
Publisher: O'Reilly Media, Inc, USA
Country of Publication: GB
Dimensions (cm): 17.4 x 23.4 x 1.9
Weight (kg): 0.45
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- Non-FictionComputing & I.T.Graphical & Digital Media Applications3D Graphics & Modelling
- Non-FictionComputing & I.T.Computer ScienceHuman-Computer InteractionInformation Visualisation
- Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine Learning
- Non-FictionComputing & I.T.DatabasesDatabase Design & Theory