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A company's IT department has a CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the CSV file is ingested into Dynamics 365 Customer Insights - Data.
The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.
You need to clean and transform the data in Customer Insights - Data to be ready for unification.
Solution: Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Select Next and your data is now ready for unification.
Does This meet the goal?
Quentin
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