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Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition ISBN: 9781098108304

Fundamentals of Data Engineering: Plan and Build Robust Data Systems 1st Edition ISBN: 9781098108304

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Product Details

  • Condition: New
  • Publisher: O'Reilly Media
  • Language: English
  • Paperback: 447 pages
  • ISBN: 9781098108304
  • Item Weight: 2.31 pounds
  • Dimensions: 7 x 1 x 9.25 inches

Description

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you:

  • Get a concise overview of the entire data engineering landscape
  • Assess data engineering problems using an end-to-end framework of best practices
  • Cut through marketing hype when choosing data technologies, architecture, and processes
  • Use the data engineering lifecycle to design and build a robust architecture
  • Incorporate data governance and security across the data engineering lifecycle

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Customer Reviews

Based on 22 reviews
68%
(15)
27%
(6)
5%
(1)
0%
(0)
0%
(0)
C
Christopher James
Excellent Learning Resource

This book is worth every penny. It's helped me develop the skills needed to design better data systems at work.

A
Allison West
Helps with Real Projects

Helped me apply data engineering best practices at my job. A great blend of academic and real-world use cases.

B
Brandon Hill
One of the Best Out There

Compared to other books on this topic, this one stands out for its clarity, structure, and relevance.

L
Lindsey Gray
Easy to Understand

No fluffjust actionable content with real insights. Its been a great asset for my teams onboarding process.

J
Jason Patterson
Great for Job Interviews

Helped me a lot in preparing for data engineering interviews. Covers core topics in great depth.