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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.

本文為系列文章的第一篇，這個系列說明廣為人知的一些「資料視覺化規則」。我們常常看到或聽說這些規則，不過經常未深入檢視規則背後的細節，甚至是完全忽略。我想要仔細檢視其中幾項規則，進一步瞭解這些規則應如何應用。在本系列的第一篇文章，也就是本文，我想要討論同時使用紅色和綠色這個問題。

我們將在本文中深入探討資料擷取與即時連線的差異，以及這兩種功能的使用時機，也會提供發佈資料來源到 Tableau Online 的相關說明。

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

在 Tableau 工作的所有人，都對於能透過 Tableau 輕鬆檢視與瞭解資料感到驕傲。開始使用後，您能憑藉著直覺，透過對簡單的可視化項新增更多欄位、公式與計算來深入探索，直到呈現可視化項所花費的時間越來越長為止。在回應時間慢於兩秒就會流失受眾的世界中，效能是至關重要的要素。以下秘訣能讓您的儀表板有更佳的運作效能。

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.

和任何公司一樣，Tableau 也需要做出關於銷售資料的決定。做為資料公司，我們持續尋求查看銷售資訊的最佳方法。我們透過下列五種方式關注自身的業務營運，藉以協助做出有關配額、地區管理和必贏交易的決定。

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.

Do you think big data doesn’t apply to marketing? Wrong: it does. The good news is that it's not too daunting.

This is the first post in a three-part series that will take a large amount of information about Tableau data extracts, highly compress that information, and place it into memory — yours.