Azure Data Factory can be used to eliminate particular columns in several ways:
Using Select and Filter activities: The Select activity can be used to choose the columns to include in the output dataset, and the Filter activity can be used to remove particular columns based on a condition.
Using Mapping Data Flows: Mapping Data Flows offer advanced transformations that can be used to eliminate columns. The Select and Filter transformations can be used to eliminate particular columns as required.
Using SQL transformation: SQL transformation can be used to write SQL statements that remove specific columns from the output dataset.
Using Custom code: Custom code can be written using Python or C# to process the data and eliminate particular columns based on requirements.
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Asked: 2022-04-25 11:00:00 +0000
Seen: 11 times
Last updated: May 12 '22
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