LRTT: Optimizing Difficult Data for Shared Analysis

By Ross Perez December 2, 2014

Customers will often tell us that they like using Tableau to drag and drop and create visualizations, but their database is difficult and messy. Sometimes it's slow, hard to understand, or challenging to use, but the common theme is that the people who want to use the database are unable to, or significantly inconvenienced when they do.

This is a complex issue, but there are several ways that Tableau can help you get around these common problems and enable analysis at your organization at the most fundamental level. Watch this episode of Lightning Round Tips and Tricks to learn more.

Intrigued? Take a look at Tableau Online to see how you can enable analysis with challenging data at your organization.


Submitted by Graeme (not verified) on

Hi Ross

Thanks for this useful video. However, please can you clarify something for me? You published the Data Source to Tableau Online, and specified a refresh. Does a refresh actually work with Tableau Online? If so, how is this possible?


Submitted by Diego (not verified) on

I also didn't understand how a dashboard deployed to tableau online can be automatically updated from a database on your network...

Submitted by Sebastian Ganame (not verified) on

Graeme, Diego,

Tableau Online cannot update directly from your network DB Server, it can do only from Cloud-based databases like Redshift, Google Analytics and Bigquery, but from from your "normal" DB server inside your network.

There's a workaround tought, which is not having the automation on Tableau Online, but in your side, we did it for a customer, in which we re-published the extract via an automated script every "X" hours, thus giving the end-user the same user experience (refreshed data every "X" hours).

Hope this helps.


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