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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

Working with Git in dbt Cloud

When working with dbt Cloud, you must have a Git repository to store your code.

You can use your own Git providers, such as GitHub, GitLab, Azure DevOps, Bitbucket, or others that implement the standard HTTPS or SSH Git communication interfaces. If you do not have a Git provider, dbt Cloud can use and internally manage the open source Git implementation.

It is important to note that branch and merge are Git concepts and are, therefore, always available, while PRs are totally external to Git and are a collaborative tool developed and powered by the individual Git provider.

If you use one of the Git providers that dbt Cloud has developed an integration for, (currently GitHub, GitLab, and Azure DevOps), you will already have PRs configured and a Continuous Integration (CI) process available when you open or propose a change to a PR.

In all other cases, to use PRs you just need to configure the correct URL so that dbt Cloud allows you to open a...

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