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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.

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.

Tableau に勤める私たちは、Tableau によって非常に簡単にデータを見て理解できることに大きな誇りを持っています。Tableau を使い始めると、シンプルなビジュアライゼーションにフィールドや式、計算を次々と加えて、直感的に掘り下げていくことができるものの、やがてはレンダリングの速度が次第に遅くなっていきます。応答に 2 秒かかることでオーディエンスを失うこともある世界では、パフォーマンスが非常に重要となります。ダッシュボードのパフォーマンスを改善するためのヒントをいくつかご紹介します。

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.