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Tableau – Working with cubes

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Tableau Software LogoThis post is the first of a series on designing and working with Microsoft SQL Server Analysis Services (SSAS) cubes in Tableau.

A little background

Tableau works great with a long list of data sources; both traditional databases, OLAP databases, file-based data sources like CSV and Excel, cloud data sources like Google Analytics, Google BigQuery, Amazon Redshift, SalesForce.com and a wide variety of Hadoop-like databases.

Most parts of Tableau work the same on all the different data sources. You get the same intuitive user interface there makes it easy for end-users to create great-looking dashboards and analyses. You have map powerful functionality out-of-the-box. There are too many great things about Tableau to list them all – so look at their website for more info on functionality and the great look-and-feel: www.tableausoftware.com

However, there are some differences between the different data sources. Especially when working with cubes we see some end-user frustration because they don’t have the same flexibility as when working the relational data or extracts.

That is the reason for this series – to explore Tableau in the context of an Analysis Services cube.

But first all the important documentation from Tableau on working with cubes. There are not that much info and a lot is learning by doing.

Tableau documentation on working with cubes

Any questions?
Please reach out to info@inspari.dk or +45 70 24 56 55 if you have any questions. We are looking forward to hearing from you.

Read the two follow-ups in this series of blog posts:
Tableau - Designing and working with cubes in Tableau
Tableau - Making the Date dimension ready for Tableau