Amazon SageMaker Canvas now supports data flows import, and faster data prep for ML
News
The article discusses new updates to Amazon SageMaker Canvas that enhance data preparation capabilities for machine learning projects.
Specifically, the article covers:
- Support for importing data flows from Amazon SageMaker Studio Classic into SageMaker Canvas
- Faster and more flexible data preparation in SageMaker Canvas, including:
- Easier import of data from S3 with custom delimiters and sampling options
- Improved performance for data preparation
- Ability to validate transforms faster and iterate on data recipes
- Option to copy and reuse data recipes for different datasets and models
- Availability of these enhancements in all AWS regions where SageMaker Canvas is supported
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