SageMaker Unified Studio: Faster Visual ETL Data Preview
⚡ Amazon SageMaker Unified Studio introduces data preview v2.0 for Visual ETL, delivering near-instant preview results (about one second) while building and iterating on ETL jobs. The new mode runs an in-browser query engine that fetches and caches source data locally, removing dependence on server-side Spark sessions and avoiding additional compute costs. It supports CSV, Parquet, and JSON from Amazon S3, as well as Amazon Redshift, S3 Tables, AWS Glue Data Catalog, and many third-party sources including Snowflake and common relational databases. A toggle lets users switch back to the original Spark-based preview when needed.
