TransformStep
A step in data preparation that performs a specific operation on the data.
Contents
Note
In the following list, the required parameters are described first.
- AggregateStep
-
A transform step that groups data and applies aggregation functions to calculate summary values.
Type: AggregateOperation object
Required: No
- AppendStep
-
A transform step that combines rows from multiple sources by stacking them vertically.
Type: AppendOperation object
Required: No
- CastColumnTypesStep
-
A transform step that changes the data types of one or more columns.
Type: CastColumnTypesOperation object
Required: No
- CreateColumnsStep
-
A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.
Type: CreateColumnsOperation object
Required: No
- FiltersStep
-
A transform step that applies filter conditions.
Type: FiltersOperation object
Required: No
- ImportTableStep
-
A transform step that brings data from a source table.
Type: ImportTableOperation object
Required: No
- JoinStep
-
A transform step that combines data from two sources based on specified join conditions.
Type: JoinOperation object
Required: No
- PivotStep
-
A transform step that converts row values into columns to reshape the data structure.
Type: PivotOperation object
Required: No
- ProjectStep
-
A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.
Type: ProjectOperation object
Required: No
- RenameColumnsStep
-
A transform step that changes the names of one or more columns.
Type: RenameColumnsOperation object
Required: No
- UnpivotStep
-
A transform step that converts columns into rows to normalize the data structure.
Type: UnpivotOperation object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
