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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

Introducing the source and ref dbt functions

You have seen that in the dbt Cloud IDE, you can write any SQL and use the Preview button to execute it on the DB configured for your project. This is handy when you are exploring a dataset or perfecting a query, but it is just the tip of the iceberg.

In this section, we will look at the dbt default project and you will learn about the source and ref functions that are at the real core of how dbt works.

Exploring the dbt default model

Let’s list what the dbt default project contains:

  • README.md: This is a text file with some instructions and pointers to the dbt documentation
  • dbt_project.yml: The main configuration file
  • .gitignore: A git-specific file that lists resources to exclude from VC, such as the dbt_packages, target, and logs folders
  • Inside the models/example folder, we have two models and a config file:
    • my_first_dbt_model.sql: As the name suggests, this is the first model, which is just made up of...
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