# Using workflows in Amazon SageMaker Unified Studio
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Amazon SageMaker Unified Studio provides workflow capabilities that allow you to set up and run a series of tasks to orchestrate your data processing procedures. Workflows use Apache Airflow to model data processing procedures and orchestrate your Amazon SageMaker Unified Studio code artifacts.

**Tip**  
Serverless workflow definitions can be tracked in a Git repository for version control and collaboration. For more information, see [Git repositories](working-with-repositories.md).

Amazon SageMaker Unified Studio supports [MWAA serverless](https://docs.aws.amazon.com/mwaa/latest/mwaa-serverless-userguide/what-is-mwaa-serverless.html) and [MWAA provisioned](https://docs.aws.amazon.com/mwaa/latest/userguide/what-is-mwaa.html) workflows:
+ **Serverless** - Eliminates the operational overhead of managing Apache Airflow environments while providing cost-effective serverless scaling.
+ **Provisioned** - A managed environment for Apache Airflow, to set up and run data pipelines in the cloud at scale.

**Note**  
IAM domains supports only serverless workflows.

To deploy workflow applications across development, test, and production environments, see [CI/CD for Amazon SageMaker Unified Studio](cicd.md).