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Power BI | Combining queries exercise | Merge the data for four Big Bang Theory seasons
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.
Software ==> | Power BI (111 exercises) |
Version ==> | Latest update |
Topic ==> | Combining queries (2 exercises) |
Level ==> | Relatively easy |
Subject ==> | Power BI training |
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The above folder contains 4 CSV files. Your task is to merge the data into a single Power BI Desktop table ... twice!
For the first method, get data from a folder and combine the files:

Choose this option when getting data, and select the above folder.
You should now have 91 rows:

This query creates and invokes a custom function (which if you're on the Wise Owl Advanced Power BI Data course you'll learn about tomorrow!). When you've got this working, load your data into your Power BI report data model, save this report as Big Bangs and then close it down.
For the second method, create a new Power BI Desktop report, and get the data from the first CSV file only:

The 24 episodes in series 7.
Take 3 duplicate copies of this query, and for each of these 3 queries change the name and the Source step:

It should be reasonably obvious how to edit the file name in the M formula bar for the Source step for each query.
Create an append query to combine these four queries together into a single one:

You may need to choose to ignore privacy levels to create your append query.
Disable loading for the first 4 queries and rename the final one. Apply your changes and exit back to Power BI Desktop - you should see something like this:

This final table should - like the first version - contain 91 rows.
While musing about which method you preferred, save this second report as More Big Bangs then close it down.