Amazon SageMaker Unified Studio adds custom visual transforms

With Amazon SageMaker Unified Studio, you can now create, share, and reuse custom visual transforms in visual ETL flows. This capability enables data engineers to build reusable, business-specific transformation logic and make it available to their teams without requiring coding expertise.

With custom visual transforms, you can build your own transforms and publish them to a shared library that other team members can discover and use directly from the visual ETL interface. For example, you can create a transform that standardizes customer phone numbers, masks personally identifiable information, or applies your organization’s standard data-quality checks. Team members can then reuse the same logic across multiple ETL jobs, reducing duplicated effort and helping ensure consistent results.

This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available.

To learn more, see custom visual tranform in the Amazon SageMaker Unified Studio User Guide.