In this module, you will learn how to use the Heat Streams Custom Visual. The Heat Streams visual allows you to visualize and compare a categorical value over time.
Even though many people think data warehouses ETLs (extract, transform and load) should contain insert data flows only, the vast majority of people I work with also have to deal with updates. Many also have to handle marking data warehouse rows as IsDeleted = "Y" in their ODS and EDW data repositories.
If you are working with a dimension table with less than 500K rows (an estimate), a traditional lookup task might work just fine. The data flow would look like this:
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