Querying the SSAS data mining model with the data mining query transformation

In this recipe, you are going to use the data mining query transformation. Based on the Naive Bayes model built in the previous recipe, you will use a (Data Mining Extensions (DMX) prediction query to get predictions from the SSAS mining model for the test dataset you created in the first recipe of this chapter.

Getting ready

In order to test this recipe, you need to have SSAS installed in multidimensional and data mining mode. In addition, you need to finish the first and third recipes of this chapter.

Note

For your convenience, the SSIS and SSAS projects needed here are provided in the Chapter08 solution.

How to do it...

1. Add a new package to the Chapter08 project. Rename it DataMining.dtsx.
2. In the control flow of the package, add a new data flow task by dragging it from the SSIS toolbox to the control flow work area.
3. Click the Data Flow tab to open the Data Flow Designer.
4. Create a new OLE DB source. Name it TMTestSet...