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[MUSIC PLAYING] Welcome to MSPTDA video number 21, yes, Microsoft power tools for data analysis. And in this video, weve got to talk about Power Query for data modeling. And what we want to look at in this video is how to reduce data model size. Now, all the transformations were going to make an Excel can equally work in Power BI Desktop. Now, our goal is to take one single, very large CSV file from a government website based on Seattle 911 call data, and create a call type pivot table where we can slice by the police precinct, the sector, and even down to the beat. Theres our count by the top 20 categories. Theres the percentage change between 2017 and 18. With data modeling transformations, were going to be able to go from a CSV file thats 706 megabytes. If we import the full file, wed be at 183. But with smart data modeling and an understanding of how the data is stored in the columnar database, we can get it all the way down to about 3 megabytes. As weve studied in this c