RawEvents is an imported table in Power BI Desktop. It contains a text column named Payload, where each row holds a JSON object such as {"UserId":42,"Region":"EMEA","Clicks":5}. You need every JSON property to become its own column so that reports can slice by Region and sum Clicks. Which first Power Query step should you apply to the Payload column?
Select the Payload column, then choose Transform > Parse > JSON to convert each text value to a record before expanding the column.
Unpivot the Payload column to normalize the data into attribute-value pairs.
Select the Payload column and apply Split Column by Delimiter using the comma character to create separate columns.
Pivot the Payload column so that the distinct JSON keys become individual columns.
Using the Transform tab's Parse feature tells Power Query that the values in the selected column are JSON documents. The Parse > JSON command converts each text value into a Record value. Records are structured values that can then be expanded, which produces one column per property (UserId, Region, Clicks). Commands such as Split Column, Pivot Columns, or Unpivot Columns operate on already-tabular data and cannot interpret JSON syntax, so they would not turn the semi-structured text into fields.
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