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Data Modeling with Tableau

You're reading from  Data Modeling with Tableau

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781803248028
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Kirk Munroe Kirk Munroe
Profile icon Kirk Munroe
Toc

Table of Contents (22) Chapters close

Preface 1. Part 1: Data Modeling on the Tableau Platform
2. Chapter 1: Introducing Data Modeling in Tableau 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 the different data sources available to Tableau Desktop.

In the first section, we looked at the different file types that can be data sources for Tableau. We imported data to create data models from Microsoft Excel, CSV files, JSON files, spatial files, and tables from PDF files.

We looked at the different types of servers that Tableau connects to, including native connectors, additional connectors, and generic ODBC and JDBC connectors when our data server is not listed. Additionally, we looked at web data connectors for creating models from the data on web pages and web applications.

In the final section, we looked at creating and connecting to Tableau published data sources, one of the key components for data modeling at scale in Tableau.

This chapter focused on the building blocks of data modeling in Tableau – connecting to data. In the next three chapters, we will look at how to extend and scale our data models by combining...

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