JR

About the Author

Joe Reis

Category Science & Technology
Cover Type Paperback
Type Non Fiction
Reading Level Introductory
Language English

ISBN 9789355421548

Rs. 2,800

O'Reilly Media

Written by

JR

Joe Reis

Explore more published works by Joe Reis on Scolar Nepal.

Fundamentals of Data Engineering

Fundamentals of Data Engineering

Who it's for: data engineers, analysts, and architects

Fundamentals of Data Engineering by Joe Reis and Matt Housley offers a practical guide to designing, building, and maintaining scalable and reliable data systems. This book provides essential principles, best practices, and real-world strategies for data engineers, analysts, and architects.Why You Should Read? Learn data engineering fundamentals and design scalable data architectures. Understand batch vs. streaming data pipelines and cloud-native solutions (AWS, Azure, Google Cloud). Gain insights into data governance, security, and quality best practices. Benefit from the expertise of data engineering specialists Joe Reis and Matt Housley.

Highlights

  • Covers essential principles and best practices for data engineering
  • Explains batch vs. streaming data pipelines
  • Discusses cloud-native solutions on AWS, Azure, and Google Cloud
  • Includes insights on data governance, security, and quality

Themes

Data engineering · Data architecture · Data pipelines · Cloud computing · Data governance

Available formats

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Paperback

Physical

Rs. 2,800
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ISBN: 9789355421548

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Specifications

10 details
Author Joe Reis, Matt Housley
Publisher O'Reilly Media
ISBN 9789355421548
Cover Type Paperback
Type Non Fiction
Reading Level Introductory
Language English
Authenticity 100% Authentic Edition
SKU 2010000041246

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Questions about this book

What is the main focus of this book?

The book focuses on designing, building, and maintaining scalable and reliable data systems, covering essential principles and best practices.

Does it cover cloud platforms?

Yes, it discusses cloud-native solutions on AWS, Azure, and Google Cloud.

What topics are included?

Topics include data engineering fundamentals, batch vs. streaming pipelines, data governance, security, and quality.

Who is this book for?

It is for data engineers, analysts, and architects.