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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.
Nous sommes très fiers de proposer une plate-forme qui vous permet de voir et de comprendre vos données en toute facilité. Dès la prise en main de Tableau, vous pouvez intuitivement plonger au cœur de vos données depuis une simple visualisation, en ajoutant de nombreux champs, formules et calculs. Malheureusement, à force, le rendu de votre visualisation prend plus de temps. De nos jours, un délai de quelques secondes peut vous faire perdre une partie de votre public. Il est donc crucial de disposer d'une visualisation rapide. Voici quelques conseils pour améliorer les performances de vos tableaux de bord.
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.
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.
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