Data Import
When you add data tables from a data connection, you have the option to either keep the data table external or to import it into the Spotfire data engine and use it in-memory.
When you are importing cube data into Spotfire you will actually flatten the cube into a single data table, which means that some features that you have access to when working with an in-database cube are lost and you may see different results when aggregating your imported data in Spotfire compared to what you get when the external system does all the aggregation. Spotfire does not import aggregated data, only leaf nodes that then can be aggregated using the Spotfire aggregation methods.
Note: If you are interested in all of the data from an OLAP (Online Analytical Processing) cube, it is probably a better idea to use an in-database connection, while import is mainly intended for small subsections of the cube data.
- Limit the Number of Dimensions
If you intend to import data from a cube into Spotfire there are a number of things that you must remember. - Data Import Best Practices
To get the most out of your data, follow these recommendations for import of data from cubes. - Known Limitations