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Learning Tableau

You're reading from   Learning Tableau Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Length 340 pages
Edition 1st Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (13) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard FREE CHAPTER 2. Working with Data in Tableau 3. Moving from Foundational to Advanced Visualizations 4. Using Row-level and Aggregate Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Adding Value to Analysis – Trends, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Techniques, Tips, and Tricks 11. Sharing Your Data Story Index

Working with extracts instead of live connections

Most data sources allow the option of either connecting live or extracting the data. However, some cloud-based data sources require an extract. Conversely, OLAP data sources cannot be extracted and require live connections.

When using a live connection, Tableau issues queries directly to the data source (or uses data in the cache if possible). When you extract the data, Tableau pulls some or all of the data from the original source and stores it in a TDE file. Extracts extend the way in which Tableau works with data. Consider the following diagram:

Working with extracts instead of live connections

The fundamental paradigm of how Tableau works with data does not change, but you'll notice that Tableau is now querying and getting results from the extract. Data can be retrieved from the source again to refresh the extract. Thus, each extract is a snapshot of the data source at the time of the latest refresh. Extracts offer the benefit of being portable and extremely efficient.

Creating extracts...

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