Amazon SageMaker now offers 9 additional visual ETL transforms

Visual ETL in Amazon SageMaker now offers 9 new built-in transforms: “Derived column”, “Flatten”, “Add current timestamp”, “Explode array or map into rows”, “To timestamp”, “Array to columns”, “Intersect”, “Limit” and “Concatenate columns”.

Visual ETL in Amazon SageMaker provides a drag-and-drop interface for building ETL flows and authoring flows with Amazon Q Developer. With these new transforms, ETL developers can quickly build more sophisticated data pipelines without having to write custom code for common transform tasks. Each of these new transforms address a unique data processing need. For example, use “Derived column**”** to define a new column based on a math formula or SQL expression, use “To timestamp**”** to convert a column to timestamp type, or build a new string column using the values of other columns with an optional spacer with the “Concatenate columns” transform.

This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information.

To learn more, visit our Amazon SageMaker documentation.