Step-by-Step Guide: How to Remove Columns Using Azure Data Factory

Here are the steps to remove a column using Azure Data Factory:

1. Open the Azure Data Factory portal and navigate to the pipeline where the data transformation needs to be performed.

2. Add a new activity to the pipeline by clicking the “Add Activity” button.

3. Select the appropriate data transformation activity from the list of available activities. For example, you can use the “Data Flow” activity to create a data transformation pipeline.

4. Once the activity is added, click on the “Source” tab to select the source data for the pipeline.

5. In the source tab, select the dataset that contains the data you want to transform. If the dataset is not available, you can create a new one by clicking on the “New” button.

6. After selecting the source dataset, switch to the “Projection” tab. This tab allows you to select the columns that you want to include in the output dataset.

7. Uncheck the box next to the column you want to remove from the output dataset. This will remove the column from the output dataset.

8. After removing the column, switch to the “Sink” tab to select the destination dataset for the output data.

9. Select the appropriate dataset or create a new one, if needed.

10. Once the source and destination datasets are selected, save the data transformation pipeline.

11. You can now run the pipeline to remove the selected column from the input data and generate the output data with the desired columns.

In summary, to remove a column using Azure Data Factory, you need to select the appropriate data transformation activity, select the source dataset, remove the column from the projection tab, select the destination dataset, and save the pipeline.