Using workflows in Amazon SageMaker Unified Studio
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.
Amazon SageMaker Unified Studio supports MWAA serverless and MWAA provisioned workflows:
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Serverless - Eliminates the operational overhead of managing Apache Airflow environments while providing cost-effective serverless scaling.
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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.
