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For example, go to the ‘Region’ column and setup a filter to exclude the word ‘Region’. After removing the headers, you just need to load the data into the Power Pivot Data Model. On the ‘Load To’ dialog box, select ‘Only Create Connection’, then click on the checkbox ‘Add this data to the Data Model’ and click on Load.
After you click Load, you’ll be able to use the data within Power Pivot.
To make modifications to the Data Model, such as adding other columns, you can open the Power Pivot window.
To Open Power Pivot, go to the Power Pivot tab and click on Manage.
Then wait a couple days and chase it with it’s charming cousin, Optimizing Your Query Plans with the SQL Server 2014 Cardinality Estimator. ⇒ If you’re too proactive, you’ll eventually be sorry: If you set up statistics maintenance too aggressively, your maintenance windows can start to run long.
Slicers allow you to filter by categorical fields; timelines allow you to filter dates. Again, you’re dynamically visualizing millions of records. Please share this post with other people so they can benefit as well.
In this post I’ll debunk this myth by creating a Pivot Table from 50 million records in Excel.
To make things more interesting, I’ll import data from 20 different text files (.csv) with 2.5 million records each.
Note: I’ll use Excel 2016, however, the steps are the same on previous Excel versions.
If you have Excel 2010/2013, go to the Power Query tab instead of the Data tab. Go to Data New Query From File From Folder Click on ‘Browse’ and browse for the folder that contains the files, then click OK.