Working with cubes
For the most part, Tableau behavior is uniform across data sources. For example, the experience of working with an Access database and an Oracle database is very similar. Of course, different data sources will have different nuances but, in general, Tableau attempts to make working with different data sources a seamless experience. However, working with cubes (that is, multidimensional data sources) is quite different. Major differences include the inability to alias, create calculated fields on dimensions, create groups or hierarchies, change aggregation types, generate extracts, and more. Tableau knowledge base articles provide many workarounds for these shortcomings.
Note
At the time of writing, the central cube-related article ...
Get Mastering Tableau now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
