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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.

We just released Tableau 9.3, and we’re pretty excited about the new Union feature. Union helps you combine data that’s been split into multiple files. If you work with data spread across multiple tabs or files, think of the time you’ll save on prepping your data. Once you’ve enjoyed that picture, take a moment to consider the data sources themselves. Before Union, many data sources were doomed to stay apart even though they truly belonged together. We wonder how many Romeo and Juliets there have ever been in the data world—millions, we’re betting! So we put together a handy tool to help you find the perfect match for your data source. Unencumbered by the data-prep issues of old, your data sources can now be together forever.

Living in Seattle for the past two years, I have been a part of countless conversations about how rainy it is here. I often hear people make comparisons to New York, claiming that “while it feels like it rains a lot here, it actually rains more in New York.” Then why the heck does it seem so rainy here all year long? Plus New Yorkers surely do not complain about the rain as much as Seattleites do! To get to the bottom of the issue, I turned to the data.