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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

Building reports in an agile way

In this section, we will decompose in stories a feature to build a report in a very general way that you can use for any report and, pretty much, for any other result deliverable in a data mart.

The “F1 – building a customer current position report” feature can be split into stories of these five types:

  • S1 – designing a light data model for the data mart to power the F1 report.
  • S2 – designing a light data model for the REF layer to power the data mart for the F1 report.
  • S3.x – developing with dbt models the pipeline for the DIM_x / FACT_x / REF_x table. This is not one story but a story for each table in the data mart, plus each necessary support table in the REF layer. We will discuss more details later.
  • S4 – an acceptance test of the data produced in the data mart.
  • S5 – development and verification of the report in the BI application.

These five types of stories...

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