Available Transformation Types
Explore all transformation types available in Etlworks. These represent specific flow actions in the UI — from simple source-to-destination pipelines to memory-based transformations and complex SQL operations.
- About transformations
- Source-to-destination transformation
- Using Memory Connection as a destination in any transformation
- Per-field Mapping transformation
- SQL transformation (source query)
- JOIN, UNION, MINUS, INTERSECT, EXCEPT transformations
- Filter transformation
- Order-by transformation
- Validation transformation
- Remove duplicates transformation
- Scripting transformations
- Partition-by transformation
- Extract dimensions transformation
- Transpose transformation
- Wrap columns transformation
- Denormalize (pivot) transformation
- Normalize dataset as key-value pairs transformation
- Denormalize key-value pairs transformation