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Data Engineering with dbt

You're reading from   Data Engineering with dbt A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803246284
Length 578 pages
Edition 1st Edition
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Author (1):
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Roberto Zagni Roberto Zagni
Author Profile Icon Roberto Zagni
Roberto Zagni
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Table of Contents (21) Chapters Close

Preface 1. Part 1: The Foundations of Data Engineering
2. Chapter 1: The Basics of SQL to Transform Data FREE CHAPTER 3. Chapter 2: Setting Up Your dbt Cloud Development Environment 4. Chapter 3: Data Modeling for Data Engineering 5. Chapter 4: Analytics Engineering as the New Core of Data Engineering 6. Chapter 5: Transforming Data with dbt 7. Part 2: Agile Data Engineering with dbt
8. Chapter 6: Writing Maintainable Code 9. Chapter 7: Working with Dimensional Data 10. Chapter 8: Delivering Consistency in Your Data 11. Chapter 9: Delivering Reliability in Your Data 12. Chapter 10: Agile Development 13. Chapter 11: Team Collaboration 14. Part 3: Hands-On Best Practices for Simple, Future-Proof Data Platforms
15. Chapter 12: Deployment, Execution, and Documentation Automation 16. Chapter 13: Moving Beyond the Basics 17. Chapter 14: Enhancing Software Quality 18. Chapter 15: Patterns for Frequent Use Cases 19. Index 20. Other Books You May Enjoy

Further reading

In this chapter, we introduced and experimented with the concept of refactoring, which is key for each professional code developer and every real-life project.

If you are serious about this profession, I want to recommend Martin’s book because it has been exceptionally important in my education as a developer.

It shaped my views that software is an ever-evolving body of knowledge expressed as code that you must keep in good shape to keep evolving it. Because of that core need, the goal of good developers is to express that knowledge as clearly as possible for colleagues that will come, including your future self, who will read that code again and again.

It also cemented my belief that tests are the superpower that allows developers to sleep well at night and be able to confidently go to the office day after day.

While SQL code and its use together with Jinja in dbt are different from pure Python or Java coding, the basics behind producing good working...

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