EXERCISE TOPIC▼
SSAS EXERCISES▼
SSAS - TABULAR EXERCISES▼
- Creating a data model (2)
- Excel pivot tables (1)
- PowerView (2)
- Power BI Desktop overview (1)
- Other data sources (1)
- Calculated columns (4)
- Measures (3)
- Changing query context (2)
- The EARLIER Function (1)
- DAX queries (3)
- Date calculations (3)
- Hierarchies (1)
- KPIs (2)
- Perspectives (1)
- Prototyping using PowerPivot (1)
- Security (2)
SSAS - tabular | Calculated columns exercise | Use the RELATED function to create the perfect data model
This exercise is provided to allow potential course delegates to choose the correct Wise Owl Microsoft training course, and may not be reproduced in whole or in part in any format without the prior written consent of Wise Owl.
You can learn how to do this exercise if you attend the course listed below!
Software ==> | SSAS - tabular (30 exercises) |
Version ==> | SSAS 2012 and later |
Topic ==> | Calculated columns (4 exercises) |
Level ==> | Relatively easy |
Classroom ==> | SSAS - Tabular Model |
Online ==> | SSAS - Tabular Model |
- Go into SQL Server Management Studio;
- Open the SQL file you've just unzipped (you can press CTRL + O to do this); then
- Execute this script.
This will generate the database that you'll need to use in order to do this exercise (note that the database and script are only to be used for exercises published on this website, and may not be reused or distributed in any form without the prior written permission of Wise Owl).
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Create a new project called Relations, and for the data model import the following tables:
- tblCentre
- tblPurchase
- tblRegion
- tblTown
Within the purchases table, use the RELATED function to bring in the centre, town and region name for each purchase, and use this to create a pivot table with a perfect data model:

You should also create and rename two measures: one to give the count of the purchase id, the other to give the sum of the quantity.
Use this data model to create your final pivot table:

The final pivot table.
Save your workbook as Good relations, then close it down.