Amazon SageMaker Unified Studio adds custom visual transforms

This article announces custom visual transforms in Amazon SageMaker Unified Studio, enabling data engineers to build and share reusable transformation logic in visual ETL flows.

• Create custom transforms for standardizing data like phone numbers or masking PII
• Publish transforms to a shared library for team discovery and reuse
• Apply organization-specific data-quality checks consistently across ETL jobs
• Reduce duplicated effort and ensure consistent results across multiple jobs
• Available in all AWS Regions where SageMaker Unified Studio is available

Custom visual transforms enable data teams to build and maintain consistent, reusable transformation logic without requiring coding expertise.