Schedule Frequent Refreshes of Data with Original Refresh Mechanism
You can schedule frequent data refreshes to ensure that incremental data in functional areas, prioritized datasets, warehouse tables, and custom data configurations is the latest.
The original frequent data refresh capability, named Frequent Data Refresh V1, is designed for refresh of base tables that capture the transactional data; it isn't meant for derived datasets that require aggregations, snapshots, or complex transformation logic.
If you want to select the warehouse tables created by the custom data configurations that were generated prior to release Platform 25.R3, then you must regenerate the applicable custom data configurations for these tables to be visible for selection. From release Platform 25.R3, the warehouse tables created by the custom data configurations are available for a frequent data refresh under the Frequent Refresh tab.
This frequent data refresh capability is designed for refresh of base tables that capture the transactional data; it isn't meant for derived datasets that require aggregations, snapshots, or complex transformation logic. Such processing creates data latency that doesn't support high volume of frequent data refresh. For Oracle Fusion Data Intelligence, you can schedule frequent data refreshes for functional areas that are visible in the Frequent Data Refresh Schedule tab on the Pipeline Settings page.
For frequent data refreshes, the semantic model isn't updated. Jobs that update the semantic model don't run as part of data augmentations; they run only during incremental loads for data augmentations.