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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

Table of Contents (21) Chapters

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

Modeling use cases and patterns

This chapter introduces the use of E-R diagrams to represent conceptual and logical data models in data engineering projects, but we have seen that the same modeling concepts are also used to design data models for applications and everywhere we want to describe how different pieces of data are related.

In the next sections, we will present a few common use cases of data structures and their models, some known problematic cases, and finally, we point to the whole area of data model libraries.

Header-detail use case

One of the ubiquitous cases when working with data is the header-detail data structure. It is so common that I am pretty sure you have already seen it somewhere.

As an example, it is used in invoices and orders, and almost anywhere else where there is one document with multiple lines of detail inside. The common document info goes into the header entity with the detail lines represented by one or more weak entities depending on...

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