# Visual ETL for IAM-based domains
<a name="visual-etl-iam-domains"></a>

IAM-based domains provide access to a new Amazon SageMaker Unified Studio interface where customers log in using federated roles and existing IAM permissions apply. The following sections describe how to use Visual ETL in IAM-based domains.

## Key features for IAM-based domains
<a name="iam-key-features"></a>

Visual ETL offers several capabilities to streamline your data workflows in IAM-based domains:
+ Drag-and-drop interface: Create Visual ETL flows by dragging and connecting components on a canvas.
+ Wide range of data connectors: Connect to various data sources and destinations, including databases, file systems, cloud storage, and APIs.
+ Extensive transformation library: Apply a variety of pre-built transformations to your data, such as filtering, aggregation, joining, and data type conversions.
+ Custom transformations: Create and save custom transformations using SQL or Python for reuse in multiple flows.
+ Data preview: Visualize your data at each step of the authoring process to ensure accuracy and data quality.
+ View scripts: View the code generated and choose to convert the flow to a notebook and continue authoring with code.
+ Code and compute configuration: Use a configuration panel to add code libraries and adjust the compute settings.

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker Unified Studio. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker-unified-studio` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).