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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

Summary

In this chapter, we learned about adding additional fields to our data model through the relationship feature in Tableau. Relationships give us flexibility by allowing us to create relationships at the logical layer of databases. With relationships, we leave the mapping of joining data at the physical layer for Tableau to create dynamically, depending on the field we use in our analyses.

We looked at how relationships are different than joins and various use cases for relationships where joins would result in multiple data models. We also looked at how performance options are available to optimize relationship query performance.

In the final section, we looked at adding additional rows to our data model by using manual and wildcard unions.

The next chapter will focus on creating joins in Tableau Desktop at the physical database layer. We will also explore geospatial joins and custom SQL.

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