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Mastering Tableau

You're reading from   Mastering Tableau Smart Business Intelligence techniques to get maximum insights from your data

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781784397692
Length 476 pages
Edition 1st Edition
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Authors (2):
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Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
David Baldwin David Baldwin
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David Baldwin
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Up to Speed – a Review of the Basics FREE CHAPTER 2. All about Data – Getting Your Data Ready 3. All about Data – Joins, Blends, and Data Structures 4. All about Data – Data Densification, Cubes, and Big Data 5. Table Calculations 6. Level of Detail Calculations 7. Beyond the Basic Chart Types 8. Mapping 9. Tableau for Presentations 10. Visualization Best Practices and Dashboard Design 11. Improving Performance 12. Interacting with Tableau Server 13. R Integration

Working with cubes


For the most part, Tableau 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 different 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, generate extracts, and more. Tableau knowledge base articles provide many workarounds for these shortcomings.

Note

At the time of writing, the central cube-related article is located at http://kb.tableau.com/articles/knowledgebase/functional-differences-olap-relational.

This article provides detailed information and is well-worth studying in detail if you work with cubes. Provided with the article is a .twbx file...

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