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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 were introduced to SQL, starting with the basics and working up to some quite advanced topics. You also got hands-on with working with Snowflake in the cloud.

You learned about the different SQL commands and categories, opened an account in Snowflake, and created your first database with users and roles. You then got into the details of the possible clauses and operators used in writing SELECT queries and tried them with Snowflake sample data. You then analyzed in more detail how to use the JOIN clause to blend data from multiple tables. We closed the chapter by presenting the window functions, which open up new avenues for our queries and make easy and efficient many complex calculations.

In the next chapter, Setting Up Your dbt Cloud Development Environment, we will create our first dbt models, setting up dbt and GitHub in the cloud.

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Data Engineering with dbt
Published in: Jun 2023
Publisher: Packt
ISBN-13: 9781803246284
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