Structure steps allow you to control the flow and organization of data within your pipeline. These steps help manage how data branches, merges, or exits the pipeline. Use these steps to split data into multiple paths, join different datasets, or define output configurations.
| Transform | Description |
|---|---|
| Split | Use Split to branch a Data Quality pipeline and generate multiple outputs. |
| Union | The Union step combines data into a new row. Common rows are considered only once and are appended with the mapped columns. |
| Join | Joining multiple inputs in a Data Quality pipeline allows you to relate different datasets to enrich records or compile a complete set of records from various sources. |
| Output | You must set up the output step and run configuration of each output branch. |