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

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781803248028

Length 356 pages

Edition 1st Edition

Languages

Python

Tools

Tableau

Concepts

Data Analysis

Author (1):

Kirk Munroe

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Table of Contents (22) Chapters

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

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21. Other Books You May Enjoy

Technical requirements

To view the complete list of requirements needed to run the practical examples in this chapter, please see the Technical requirements section in Chapter 1.

In this chapter, we will be using the Tableau Desktop client software and the web interface of Tableau Server or Cloud. We are going to be working with the published data source we created in Chapter 6.

The screenshots and descriptions in this chapter are based on Tableau Cloud version 2022.3. They might be different in your version of Tableau Server or Cloud if you are working with a different version.

The published data source we will be using is based on the Superstore data, the sample data that Tableau uses in their products. This published data source contains sales from the US, Canada, Colombia, Chile, and Argentina, which we joined to a product database.

The name suggested for the published data source was Product Sales. If you did not publish the data source or no longer have access to...

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Table of Contents (22) Chapters

Technical requirements

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Table of Contents (22) Chapters

Technical requirements

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