AWS sagemaker-unified-studio documentation change
Summary
Updated terminology from 'flow' to 'job' throughout the document, added step for first-time permission mode selection, and clarified compute permission modes for data access
Security assessment
The change adds documentation about selecting compute permission modes (fine-grained vs coarse-grained) which control data access levels. While this explains security-related access controls, there's no evidence of addressing a specific security vulnerability.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/getting-started-visual-etl.md b/sagemaker-unified-studio/latest/userguide/getting-started-visual-etl.md index 9b5487b9f..36b47147f 100644 --- a//sagemaker-unified-studio/latest/userguide/getting-started-visual-etl.md +++ b//sagemaker-unified-studio/latest/userguide/getting-started-visual-etl.md @@ -5 +5 @@ -# Creating a Visual ETL flow +# Creating a Visual ETL job @@ -7 +7 @@ -To create a flow using Visual ETL in Amazon SageMaker Unified Studio: +To create a job using Visual ETL in Amazon SageMaker Unified Studio: @@ -11 +11 @@ To create a flow using Visual ETL in Amazon SageMaker Unified Studio: - 2. Navigate to the Visual ETL tool using the dropdown "Build" menu, selecting "Visual ETL flows". + 2. Navigate to the Visual ETL tool using the dropdown "Build" menu, selecting "Visual ETL jobs". @@ -13 +13 @@ To create a flow using Visual ETL in Amazon SageMaker Unified Studio: - + 3. Click "Create Visual ETL job" to open the Visual ETL editor. @@ -15 +15 @@ To create a flow using Visual ETL in Amazon SageMaker Unified Studio: - 3. Click "Create visual ETL flow" to open the Visual ETL editor. +If this is your first time using Visual ETL jobs in Amazon SageMaker Unified Studio, you are asked to choose a default compute permission mode option based on your data access preference. For more information, see [Configuring permission mode for Glue ETL in Amazon SageMaker Unified Studio](./compute-permissions-mode-glue.html). @@ -17 +17 @@ To create a flow using Visual ETL in Amazon SageMaker Unified Studio: -If this is your first time using Visual ETL flows in Amazon SageMaker Unified Studio, you are asked to choose a default compute permission mode option based on your data access preference. For more information, see [Configuring permission mode for Glue ETL in Amazon SageMaker Unified Studio](./compute-permissions-mode-glue.html). + 4. Give the job a name when you begin authoring the job. @@ -19 +19 @@ If this is your first time using Visual ETL flows in Amazon SageMaker Unified St - 4. Give the flow a name when you begin authoring the flow. + 5. From the dropdown menu next to the Run button, choose the compute permission mode option that supports the data you will be using in the job. @@ -21,3 +21 @@ If this is your first time using Visual ETL flows in Amazon SageMaker Unified St - 5. From the dropdown menu next to the Run button, choose the compute permission mode option that supports the data you will be using in the flow. - - * Select **project.spark.fineGrained** for data managed using fine-grained access, meaning the compute engine can only access specific rows and columns from the full dataset. Choosing this option configures your compute to work with data asset subscriptions from Amazon SageMaker catalog. + * Select **project.spark.fineGrained** for data managed using fine-grained access, meaning the compute engine can only access specific rows and columns from the full dataset. Choosing this option configures your compute to work with data asset subscriptions from Amazon SageMaker Catalog. @@ -37 +35 @@ If this is your first time using Visual ETL flows in Amazon SageMaker Unified St - 11. Connect the components to create a complete flow. + 11. Connect the components to create a complete job. @@ -43 +41 @@ If this is your first time using Visual ETL flows in Amazon SageMaker Unified St - 13. To make the flow accessible for all project members to view and edit, select "Save to project". + 13. To make the job accessible for all project members to view and edit, select "Save to project". @@ -45 +43 @@ If this is your first time using Visual ETL flows in Amazon SageMaker Unified St - 14. Select "Run" to execute it immediately or run it on a schedule with the instructions at [Scheduling and running visual flows](./schedule-visual-etl.html). + 14. Select "Run" to execute it immediately or run it on a schedule with the instructions at [Scheduling and running visual jobs](./schedule-visual-etl.html).