These steps help detect and resolve duplicate records within your data. You can group similar records based on matching criteria and consolidate them into a single, consistent golden record to ensure clean and accurate data.
| Transform | Description |
|---|---|
| Match and Group | This step first matches and then groups dataset records based on entity values. |
| Candidate Finder | Candidate Finder retrieves potential matching records from a reference dataset before detailed matching and scoring. |
| Consolidate Matches | The Consolidate Matches step is used to consolidate inconsistent duplicate records by either creating a new golden record or replacing them with consistent records. |
| Match Records | This step matches and groups records within a single dataset or across multiple datasets. It supports both de-duplication and cross-dataset reconciliation using a unified configuration experience. |