AWS sagemaker-unified-studio documentation change
Summary
Restructured documentation to differentiate between IAM-based and Identity Center-based domains, removed feature list, and added domain-specific guidance links
Security assessment
Added documentation about IAM-based domains using federated roles and existing permissions, which relates to access control mechanisms. However, there's no evidence of addressing a specific security vulnerability or weakness.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/visual-etl.md b/sagemaker-unified-studio/latest/userguide/visual-etl.md index e1b0686d4..0655e3528 100644 --- a//sagemaker-unified-studio/latest/userguide/visual-etl.md +++ b//sagemaker-unified-studio/latest/userguide/visual-etl.md @@ -5,2 +4,0 @@ -Key features - @@ -30 +28,6 @@ Authoring flows with Visual ETL utilizes AWS Glue interactive sessions Version 5 -## Key features +Amazon SageMaker Unified Studio supports Visual ETL in two domain types: + + * **IAM-based domains** \- New domain type where customers log into Amazon SageMaker Unified Studio using federated roles and existing IAM permissions apply when using Amazon SageMaker Unified Studio IAM-based domains. Provides access to a new Amazon SageMaker Unified Studio interface. + + * **Identity Center-based domains** \- Original Amazon SageMaker Unified Studio interface and user experience that continues to be supported and maintained. + @@ -32 +34,0 @@ Authoring flows with Visual ETL utilizes AWS Glue interactive sessions Version 5 -Visual ETL offers several capabilities to streamline your data workflows: @@ -34 +35,0 @@ Visual ETL offers several capabilities to streamline your data workflows: - 1. Drag-and-drop interface: Create Visual ETL flows by dragging and connecting components on a canvas. @@ -36 +37 @@ Visual ETL offers several capabilities to streamline your data workflows: - 2. Wide range of data connectors: Connect to various data sources and destinations, including databases, file systems, cloud storage, and APIs. +While workflows are similar across both domain types, the steps to complete actions differ between the two interfaces. Choose the appropriate section below based on your domain type. @@ -38 +39 @@ Visual ETL offers several capabilities to streamline your data workflows: - 3. Extensive transformation library: Apply a variety of pre-built transformations to your data, such as filtering, aggregation, joining, and data type conversions. +###### Topics @@ -40 +41 @@ Visual ETL offers several capabilities to streamline your data workflows: - 4. Custom transformations: Create and save custom transformations using SQL or Python for reuse in multiple flows. + * [Supported connectors for Visual ETL](./connectors-visual-etl.html) @@ -42 +43 @@ Visual ETL offers several capabilities to streamline your data workflows: - 5. Data preview: Visualize your data at each step of the authoring process to ensure accuracy and data quality. + * [ Supported transforms for Visual ETL](./visual-etl-supported-transforms.html) @@ -44 +45 @@ Visual ETL offers several capabilities to streamline your data workflows: - 6. View scripts: View the code generated and choose to convert the flow to a notebook and continue authoring with code. + * [Visual ETL for IAM-based domains](./visual-etl-iam-domains.html) @@ -46 +47 @@ Visual ETL offers several capabilities to streamline your data workflows: - 7. Code and compute configuration: Use a configuration panel to add code libraries and adjust the compute settings. + * [Visual ETL for Identity Center-based domains](./visual-etl-identity-center-domains.html) @@ -59 +60 @@ Monitoring jobs and job runs -Creating a Visual ETL job +Supported connectors for Visual ETL