
Amazon SageMaker Canvas now offers five new data transformation capabilities including column type conversion, time-series resampling, and row management to improve data preparation for machine learning models.


<div><p>This article announces five new data transformation capabilities for Amazon SageMaker Canvas to improve data preparation for machine learning model building.</p><ul><li>Change column data types between numeric, text, and datetime formats</li><li>Display associated features like binary and categorical data types</li><li>Re-sample time-series data to establish regular observation intervals</li><li>Sort rows in ascending or descending order</li><li>Shuffle rows randomly and remove duplicate rows</li><li>Available in all AWS regions where Canvas is currently supported</li></ul><p>These enhancements help users prepare data more effectively before building ML models, ensuring data integrity and accuracy.</p></div>


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