AWS sagemaker-unified-studio documentation change
Summary
Added details about default Glue ETL compute connections, permission modes, automatic resource creation, and technical specifications
Security assessment
The changes document security-related permission modes (compatibility vs fine-grained access controls) but do not indicate resolution of a specific vulnerability
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/compute-glue-etl.md b/sagemaker-unified-studio/latest/userguide/compute-glue-etl.md index 2f98109ad..20bed06b4 100644 --- a/sagemaker-unified-studio/latest/userguide/compute-glue-etl.md +++ b/sagemaker-unified-studio/latest/userguide/compute-glue-etl.md @@ -7 +7,9 @@ -Glue ETL compute resources power Visual ETL flows in your Amazon SageMaker Unified Studio project. You can view information about your AWS Glue ETL compute resources on the **Data processing** tab of the **Compute** page in your project. These resources are used when you create and run Visual ETL flows in Amazon SageMaker Unified Studio. +AWS Glue ETL compute resources power Visual ETL flows in your Amazon SageMaker Unified Studio project. You can use Glue ETL serverless compute resources to run Visual ETL flows and JupyterLab notebooks without managing underlying infrastructure. This is especially useful for analytics, machine learning, and application development. + +You can view information about your AWS Glue ETL compute resources on the **Data processing** tab of the **Compute** page in your project. These resources are used when you create and run Visual ETL flows in Amazon SageMaker Unified Studio. + +By default, when you create a project in Amazon SageMaker Unified Studio two Glue ETL compute connections are created. The Glue ETL connection with permission mode set to compatibility is called `project.spark.compatibility`, and the Glue ETL connection with permission mode set to fine-grained is called `project.spark.fineGrained`. You can choose which compute option to use when you use tools such as Visual ETL and JupyterLab in Amazon SageMaker Unified Studio. For more information about compatibility and fine-grained permission modes, see [Configuring permission mode for Glue ETL in Amazon SageMaker Unified Studio](./compute-permissions-mode-glue.html). + +###### Note + +Amazon SageMaker Unified Studio automatically creates Glue ETL compute resources during project creation. You cannot create, edit, or delete these instances. By default, Glue ETL uses AWS Glue 5.0 with G.1X (1 Data Processing Unit / Hour) worker types.