Amazon SageMaker offers additional visual ETL transforms and S3 tables support
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Amazon SageMaker has expanded its Visual ETL capabilities with 14 new built-in transforms and S3 Tables support, enhancing data pipeline development for ETL developers.
- New transforms include timestamp formatting, string splitting, regex extraction, JSON parsing, and more
- Enables complex data transformations without writing custom code
- Provides drag-and-drop interface for building ETL flows
- Supports Amazon Q Developer for flow authoring
- New transforms available in all AWS regions where SageMaker is supported
- S3 Tables now accessible via SageMaker Lakehouse node
These additions simplify data processing by offering more flexible and user-friendly ETL transformation options.
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