Amazon SageMaker Unified Studio is in preview release and is subject to change.
Using workflows in Amazon SageMaker Unified Studio
With a Amazon SageMaker Unified Studio workflow, you can set up and run a series of tasks in Amazon SageMaker Unified Studio. Amazon SageMaker Unified Studio workflows use Apache Airflow to model data processing procedures and orchestrate your Amazon SageMaker Unified Studio code artifacts. Go to the Workflows page of a project in Amazon SageMaker Unified Studio to create workflows in Python code, run them, and review logs.
Note
Workflows are available in Amazon SageMaker Unified Studio projects created with the Data analytics and AI-ML model development project profile.
There are two compute spaces that you can use for workflows in your project:
Local space. Only you can view and edit the workflows in your local space.
Shared environment. Everyone in the project sees and accesses the files in the shared environment.
Each workflow that you create is available in your space and files within the project. To share your workflows with other users, sync your files with a shared environment.