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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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Tools
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Authors (2):
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Jen Stirrup Jen Stirrup
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Jen Stirrup
 Baldwin Baldwin
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Baldwin
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Table of Contents (18) Chapters Close

Mastering Tableau
Credits
About the Author
www.Packtpub.com
Preface
1. Getting Up to Speed – a Review of the Basics 2. All about Data – Getting Your Data Ready FREE CHAPTER 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

Single Data Source > Joining > Blending


One of the beauties of Tableau is the ease with which you can connect to many different data sources in various ways. As mentioned earlier in this book, there are 50 connectors defined in Tableau 10 for interfacing with a variety of data sources. Furthermore, this flexibility extends beyond simply connecting to single tables or files. Previous versions of Tableau accommodated joining within data sources and data blending of disparate data sources. Tableau 10 can even accommodate cross-joining data sources.

Although Tableau makes it easy to connect to various data sources, it should be stressed that Tableau is not an Extract, Transform, and Load (ETL) tool. If complex joins and complex data blending are required to generate useful results, it may be advisable to perform ETL work outside of Tableau. Such ETL work will ideally lead to better data modeling and thus easier authoring and quicker performance in Tableau.

Three ways Tableau connects to...

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