# Autobalance processing transform


Use this transform to repartition data to optimize future cluster resource usage. This transform is particularly useful for uneven datasets.

**To add an Autobalance Processing transform:**

1. Navigate to your visual ETL job in Amazon SageMaker Unified Studio.

1. Choose the plus icon to open the **Add nodes** menu.

1. Under **Transforms**, choose **Autobalance Processing**.

1. Select the diagram to add the node to your visual ETL job.

1. Select the node on the diagram to view details about the transform.

1. Under **Number of partitions**, input a number of partitions to randomly distribute the data into. Or, switch the toggle to off to use the number of cores as the partition number.

1. (Optional) Under **Repartition columns**, identify columns that you want data of the same value to be assigned to the same partition in.