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One of the most useful lessons I've learned from the Tableau community has been on visualizing dense data in a way that quickly drives insights. Thanks to Tableau Public and its great authors, I found two solutions: by cutting and superposing areas, and by using minimalist rank position. Let me tell you about the first approa

In December 2015, we announced support for Tableau Server on Microsoft Azure’s virtual machines. Since that time, we’ve seen a number of customers choose to deploy Tableau across their enterprise through Microsoft Azure.

Server admins, have we got an idea for you. To celebrate April Fools' Day, how about changing your logo on Tableau Server or your Tableau Online sites to something fun and quirky?

Tableau products connect to a wide variety of data sources using named connectors as seen below. These connectors are tuned for performance and Tableau capabilities. We continually evolve these connections and add new ones! And we need your help in testing these new connections.

Here at Tableau, seeing and understanding data costs nothing for students. But what about teaching material? Teachers, we’ve got you covered.

When we were building MyALPO, our internal portal to Tableau Server, we knew we wanted to include a search functionality. But it turns out search is a pretty complicated thing to build. When sat down to build the functionality, we had more questions than direction. We weren’t quite sure how to approach the problem, and we couldn’t find any resources on the web to help guide us.

Now in Tableau 9.3, you can connect to your Snowflake Elastic Data Warehouse and pick which virtual warehouse you want to use.

You often ask us to build more data into Tableau maps, and we do hear you. With every Tableau release, we add more data to build out global coverage for common administrative boundaries and cities. And with Tableau 9.3 comes loads of new data and some important updates to existing data.