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Connect to your S3 data with the Amazon Athena connector in Tableau 10.3

Analytics technology is a business must-have, but what’s practical for actual use today?

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.

Examine the issue of using red and green together in data visualization.

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 visualization—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 on making your dashboards more performant.

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.