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Data Engineering with dbt

You're reading from  Data Engineering with dbt

Product type Book
Published in Jun 2023
Publisher Packt
ISBN-13 9781803246284
Pages 578 pages
Edition 1st Edition
Languages
Author (1):
Roberto Zagni Roberto Zagni
Profile icon Roberto Zagni
Toc

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 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

Summary

Congratulations, you are now able to draw and understand simple data models!

In this chapter, you have learned the bread and butter of data modeling using the E-R model at different levels, as well as how to express key ideas about your data.

You now know how to look at some of the most common data model patterns and you should not be tricked anymore by fan and chasm traps.

You have gone through the architectures and modeling styles in use today, learning about their pros and cons, and you have a better idea of the approach we will use in this book.

In the next chapter, Analytics Engineering as the New Core of Data Engineering, you will get a full picture of data engineering and then dive into the core of what we do with dbt: analytics engineering.

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