# Change columns transform
<a name="change-columns-transform"></a>

A Change columns transform remaps the source data property keys into the desired configured for the target data. In a Change Columns transform node, you can:

1. Change the name of multiple columns.

1. Change the data type of the columns, if the new data type is supported and there is a transformation path between the two data types.

1. Use a custom expression to change the values of selected columns.

**To add a Change Schema node to your job diagram**

1. Open the menu and then choose Change Columns to add a new transform to your job diagram, if needed.

1. (Optional) Click on the rename node icon to enter a new name for the node in the job diagram.

1. Modify the input schema by clicking on the node, then:

   1. To rename a column, enter the new name in the Target column field.

   1. To change the data type for a selected column, select "Add new type cast", then choose the source column, target column, and new data type from the Target type list.

   1. To change the data values for a selected column, add a custom expression.

1. (Optional) After configuring the node properties and transform properties, you can preview the modified dataset by choosing the Data preview tab in the node details panel.

![\[The Amazon SageMaker Unified Studio UI showing the configuration options for the Change Columns transform.\]](http://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/images/vis-etl/vis-etl-change-columns.png)