Amazon SageMaker Unified Studio now supports faster data preview in Visual ETL

This article announces data preview v2.0 for Amazon SageMaker Unified Studio's Visual ETL, enabling faster data transformation iteration with near-instant results.

• In-browser query engine delivers transform output in approximately one second
• No session startup required and no additional compute costs
• Source data cached in browser for instant subsequent transforms
• Reduces unnecessary queries against Redshift clusters
• Supports CSV, Parquet, JSON from S3 and multiple data sources
• Compatible with Redshift, S3 Tables, Glue, Snowflake, MySQL, PostgreSQL, and others
• Toggle option to switch between v2.0 and original Spark-based preview
• Available in all AWS Regions supporting SageMaker Unified Studio

Data preview v2.0 significantly improves ETL workflow efficiency by eliminating server-side processing delays and reducing infrastructure costs for data engineers and analysts.