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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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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 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

Summary

In this chapter, you have learned about the full data life cycle, and you became familiar with DataOps and the modern data platform concepts that make it possible to develop data projects with similar way of working and to achieve the same satisfaction level as software projects developed using a DevOps approach.

Well done!

We introduced the figure of the analytics engineer, who takes the central role of building the core of a modern data platform, and we saw the best practices and principles that we can adopt from software engineering to make our work on data projects more reliable and satisfying for us and other stakeholders.

With this chapter, we close the first part of this book, which has introduced you to the key elements of data engineering and will enable you to better understand how we work with dbt.

In the next chapter, Agile Data Engineering with dbt, you will start to learn about the core functionalities of dbt and you will start building the first models...

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