Amazon SageMaker Unified Studio now supports connecting existing Amazon Managed Workflows for Apache Airflow (MWAA) environments to projects. Data engineers and platform teams who already operate MWAA environments can now manage their Airflow workflows from the same interface they use for analytics and machine learning, without recreating configurations or migrating DAGs.
To connect an existing environment, open the Workflows tool in your Studio project and select “Add connection” in the connection selector. Provide the Airflow configuration options that reference your domain and project. Once connected, project members can sync, trigger, and monitor workflows directly from Amazon SageMaker Unified Studio. Environments running Apache Airflow 3 or later also get access to the visual authoring experience for creating new workflows using the drag-and-drop editor.
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To get started, see Workflow environments in Amazon SageMaker Unified Studio in the Amazon SageMaker Unified Studio User Guide.
Categories: general:products/amazon-sagemaker-studio,marketing:marchitecture/analytics,marketing:marchitecture/artificial-intelligence,general:products/amazon-mwaa
Source: Amazon Web Services
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