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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

Data Modeling Functions with Tableau Prep Builder

In the previous chapter, we were introduced to Tableau Prep Builder, Tableau’s product for preparing data and creating data models. We explored connections, filtering, cleaning, grouping, and several functions Tableau Prep Builder uses to make our modeling jobs easier.

Beyond extracting, filtering, and cleaning data, Prep Builder has functions for combining different data sources and reshaping data to optimize in the table format preferred by Tableau. This chapter focuses on extending the width of data by adding new columns through joins and extending the length of data by adding rows through unions. The chapter also covers consolidating fields from columns and adding new fields from data in rows. Additionally, we cover the strategy and technique for aggregating data to the proper level for analysis.

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

  • Adding additional data through unions –...
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