Targets
Data platform integration
Mirror captured tables into analytics platforms, such as Microsoft Fabric through Open Mirroring.
A data platform target keeps tables in an analytics platform in step with your operational databases. SQL Flow writes changes in the platform's own ingestion format, and the platform merges them into its tables.
Targets in this group
| Target | Highlights |
|---|---|
| Fabric Open Mirroring | Open Mirroring Parquet files written to an open mirrored database's landing zone in Microsoft Fabric |
What every data platform target does
- Initial snapshot, then changes. SQL Flow writes each selected table's rows first, then batches of inserts, updates and deletes.
- The platform applies the changes. SQL Flow advances its committed position once the files are in the platform's landing zone. The platform merges them into its tables on its own schedule.
- Mapping and processing. Name mapping and in-flight processing shape the data before it is written.
- No Reload. Reload is refused. Re-seed single tables instead.
