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Learn about TabPy, which makes it possible to use Python scripts in Tableau calculated fields. When you pair Python’s machine-learning capabilities with the power of Tableau, you can rapidly develop advanced-analytics applications that can aid in various business tasks.

If you haven't used Python before, have no fear—this is definitely achievable for novices. Read on!

Snowflake has been climbing the proverbial database charts recently, and it's not hard to see why.

Got your data in Google Sheets? You can connect directly to your data in Tableau 10 in just a few steps! Find out how with our simple guide.

This is the first in a series of posts about some of the well-known “data viz rules". We often hear these rules, but the details behind them are often not examined in depth or are overlooked completely. I wanted to examine a few of them to better understand how they should be applied. For the first in the series, I examined the issue of using red and green together.

In this post, we’ll dive into the difference between data extracts and live connections, and when to use them. We’ll also look at publishing data sources to Tableau Online.

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

We here at Tableau are very proud of how easy it is to see and understand data with Tableau. Once you get started, it’s intuitive to dive deeper by adding more and more fields, formulae and calculations to a simple visualisation – until it becomes slower and slower to render. In a world where two-second response times can lose an audience, performance is crucial. Here are some tips for making your dashboards perform better.

Want more of your colleagues to dive into data? Introduce them to the data-informed way of life with an elegant dashboard about key metrics. A high-level dashboard that keeps the company updated at all levels and also drills down in seconds can help people evolve from passive consumers of data to self-service can-doers.

Like any company, Tableau needs to make decisions about sales data. And as a data company, we’re always on the hunt for the best way to look at sales information. Here are five ways we look at our own operations to help make decisions about quota, territory management and must-win deals.

Tableau's features are carefully designed to help people transform data into meaning. The easier it is to express ideas in a calculation language, the more meaning people can generate. Level of Detail (LOD) Expressions allows people to express powerful concepts using simple statements.