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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

Building Data Models at the Physical Level

Tableau relationships are the preferred way to bring multiple tables together in Tableau Desktop. We learned about relationships in Chapter 8. There are some cases where you, the data modeler, need to be one level deeper. For these use cases, we must go to the physical layer of the data source. We can get to this level by creating a join or using custom SQL.

When we create a join, Tableau creates a new table that results from the joining of the two tables. The structure of the new table depends on the type of join we use. We will be studying the four join options in this chapter. These are left join, right join, inner join, and full or outer join. In addition to joins, we will explore custom SQL statements and demonstrate the impact of using both versus using relationships.

In this chapter, we’re going to cover the following topics:

  • Opening relationships to join at the physical layer through database joins
  • Geospatial...
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