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Data Modeling with Tableau

You're reading from   Data Modeling with Tableau A practical guide to building data models using Tableau Prep and Tableau Desktop

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803248028
Length 356 pages
Edition 1st Edition
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Author (1):
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Kirk Munroe Kirk Munroe
Author Profile Icon Kirk Munroe
Kirk Munroe
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Data Modeling on the Tableau Platform
2. Chapter 1: Introducing Data Modeling in Tableau FREE CHAPTER 3. Chapter 2: Licensing Considerations and Types of Data Models 4. Part 2: Tableau Prep Builder for Data Modeling
5. Chapter 3: Data Preparation with Tableau Prep Builder 6. Chapter 4: Data Modeling Functions with Tableau Prep Builder 7. Chapter 5: Advanced Modeling Functions in Tableau Prep Builder 8. Chapter 6: Data Output from Tableau Prep Builder 9. Part 3: Tableau Desktop for Data Modeling
10. Chapter 7: Connecting to Data in Tableau Desktop 11. Chapter 8: Building Data Models Using Relationships 12. Chapter 9: Building Data Models at the Physical Level 13. Chapter 10: Sharing and Extending Tableau Data Models 14. Part 4: Data Modeling with Tableau Server and Online
15. Chapter 11: Securing Data 16. Chapter 12: Data Modeling Considerations for Ask Data and Explain Data 17. Chapter 13: Data Management with Tableau Prep Conductor 18. Chapter 14: Scheduling Extract Refreshes 19. Chapter 15: Data Modeling Strategies by Audience and Use Case 20. Index 21. Other Books You May Enjoy

Using relationships to combine tables at the logical layer

Tableau introduced a new data model in its 2020.2 release called relationships. Up until this release, the only way to expand your analysis to use additional fields from a secondary table in Tableau was to create a join at the physical layer of the data. Relationships offer advantages over physical joins. The advantages come down to quicker and easier data modeling. Just tell Tableau which fields are common between the different tables and let Tableau dynamically generate the right query based on the question asked by the analyst. This means no more pre-aggregation, complex join clauses, and custom SQL queries.

These advantages in modeling lead to two particularly compelling use cases:

  • Supporting multiple use cases with a single data model
  • Ability to handle different levels of aggregation

Let’s start by exploring multiple use cases with a single data model.

Many use cases with a single data model...

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