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Mastering Tableau 2021

You're reading from   Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 3rd Edition
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Authors (2):
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David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Marleen Meier Marleen Meier
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Marleen Meier
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Table of Contents (18) Chapters Close

Preface 1. Getting Up to Speed – A Review of the Basics 2. All About Data – Getting Your Data Ready FREE CHAPTER 3. Tableau Prep Builder 4. All About Data – Joins, Blends, and Data Structures 5. Table Calculations 6. All About Data – Data Densification, Cubes, and Big Data 7. Level of Detail Calculations 8. Beyond the Basic Chart Types 9. Mapping 10. Tableau for Presentations 11. Visualization Best Practices and Dashboard Design 12. Advanced Analytics 13. Improving Performance 14. Interacting with Tableau Server/Online 15. Programming Tool Integration 16. Another Book You May Enjoy
17. Index

Working with cubes

For the most part, Tableau's behavior is uniform across data sources. For example, the experience of working with an Access database and an Oracle database is very similar. Of course, different data sources will have their nuances but, in general, Tableau attempts to make working with different data sources a seamless experience. However, working with cubes (that is, multidimensional data sources) is quite different. Major differences include the inability to alias, create calculated fields on dimensions, create groups or hierarchies, change aggregation types, and generate extracts.

As of the time of writing, the central cube-related article is located at https://onlinehelp.tableau.com/current/pro/desktop/en-us/cubes.htm.

The preceding article provides detailed information and is worth studying in detail if you work with cubes. Provided with the article are many links and examples on how to reproduce typical Tableau behavior when working in...

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