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Practical Solutions for Excel, Power BI, SQL, Access, Python, Data Science, Automation & Other Tech
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MSPTDA 33: Data Modeling for Slowly Changing Dimensions with Power Query & PivotTable
Download Start Excel file: https://ift.tt/2qg0tF1
Download Finished Excel file: https://ift.tt/2W0DmKJ
Pdf files with notes: https://ift.tt/2IOoqtJ
In this video learn about how to deal with a “Slowly Changing Dimensions”, which is the Dimension = Employee and the changing Attribute = Team. Learn how to use Power Query to transform the Dimension Table and Fact Table so that we can show Total Sales by Team and Employee using a Standard PivotTable. Learn how to create automatic steps in Power Query and Custom M Code.
Topics:
1. (00:08) Introduction to Data Setup and Goal of Power Query Data Modeling
2. (01:44) Power Query Transformation for Dimension Table, including UnPivot Other Columns.
3. (03:30) Power Query M Code Formula to pull Team Key into Fact Table based on three conditions / criteria. See the functions Table.AddColumn and Table.SelectRows, and how to Define a Variable for a Custom Function. The Formula does a Three Way Lookup in Power Query.
4. (11:09) Build Standard PivotTable Report, including Loading Power Query Output directly to a Standard PivotTable.
5. (11:57) Summary
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.
I offer limited consulting services to potentially assist you with data challenges, whether it's designing a complex Excel formula, writing a macro or building a whole new process for data capture, modeling and analysis. Contact me if you have a need.