Tabular and multidimensional models code#

However, you can't see calculated members if they don't meet the constraints that are mentioned in the previous bulleted list. You can instead connect to a cube that contains calculated members on user hierarchies. The calculated members of user hierarchies aren't exposed in Power BI. You have a few other options and constraints if you expose this type of calculated member:Ī dimension attribute can have an optional UnknownMember.Īn attribute containing calculated members can't be the key attribute of the dimension unless it's the only attribute of the dimension.Īn attribute containing calculated members can't be a parent-child attribute. Multidimensional models expose calculated members on attribute hierarchies as values of a column.

Calculated members on attribute hierarchies that aren't siblings of All.

The two most common types of calculated members are: Multidimensional models support creation of various types of calculated members. The key attribute of the parent-child dimension isn't exposed in the tabular metadata. Each level of the parent-child hierarchy is exposed as a hidden column in the tabular metadata.

Multidimensional models support parent-child hierarchies, which are presented as a hierarchy in the tabular metadata.

Power BI can then retrieve those images from the URL and display them in visuals. Its type information is then provided to Power BI in the tabular metadata. You might specify these fields as ImageURL types in SQL Server Data Tools, or then in Power BI Desktop. Power BI can also render images when you provide a field that contains uniform resource locators (URLs) of the images. You can recognize these associations by the map icon next to the element in the Field pane in Power BI. Power BI recognizes the metadata, enabling you to create map visualizations.

Tabular and multidimensional models code#

For example, a Geography dimension where the City, State-Province, CountryRegion, and Postal Code dimension attributes have appropriate geography types associated with them are exposed in the tabular metadata. Multidimensional models also support associating dimension attributes with specific dimension attribute types. KPIs in multidimensional databases support Value, Goal, Status Graphic, and Trend Graphic. Power BI recognizes display folders in tabular metadata, and it shows measures and KPIs within the display folders. To help simplify complex models in a multidimensional model, you can define a set of measures or KPIs in a cube to be located within a display folder. Calculated measures without an associated measure group are grouped under a special table called Measures in the tabular metadata. Measure groups in a multidimensional cube are exposed as tables with a sigma (∑) beside them in the Fields pane. Measure group -> Cube dimension relationship

Measures without associated measure group Based on the returned metadata, Power BI Desktop runs appropriate DAX queries against SSAS when you create a visualization, such as a table, matrix, chart, or slicer. Power BI queries the model for tabular metadata. The following table shows the correspondence between multidimensional objects and the tabular metadata that's returned to Power BI Desktop. Tabular metadata of multidimensional models The following sections describe features and capabilities of Power BI and SSAS MD connections. You can publish and upload reports that use SSAS Multidimensional models in live mode to the Power BI service. The Power BI service and Power BI Desktop both support SSAS multidimensional models in live connection mode. To connect to an SSAS MD database, select Get data, choose Database > SQL Server Analysis Services database, and then select Connect: With Power BI Desktop, you can access SQL Server Analysis Services (SSAS) multidimensional models, commonly referred to as SSAS MD.