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Software ==>	SSAS - tabular (30 exercises)
Topic ==>	Changing query context (2 exercises)
Level ==>	Average difficulty
Subject ==>	SSAS training

Compare land and non-land data in a pivot table, using the VALUES function to modify the query context

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.

Before you can do this exercise, you'll need to download and unzip this file. Once you've done this:

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).

If you haven't already done so, create a new project called BaseModel, and import the following tables: Centre, CentreType, Environment, Family, Habitat, Product, Purchase, Region and Town.

The aim of this exercise is to create the following pivot table, showing the total quantity of sales for land and non-land environments:

The pivot table divides spending into Land and other environments.

To do this, create two measures:

Name	What it shows
Non-terrestrial	Calculates the total quantity of purchases, but excluding the Land environment.
Terrestrial	Does the same thing, but only for the Land environment.

You'll need to use the VALUES function, otherwise Excel will remove any constraint by environment, rather than modifying it.

Save your workbook as Happy landings, then close it down.

You can find other training resources for the subject of this exercise here:

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EXERCISE TOPIC

SSAS EXERCISES

SSAS - TABULAR EXERCISES

Compare land and non-land data in a pivot table, using the VALUES function to modify the query context

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London

Manchester