DatriseAI-first ETL

Senseforce Yellowfin

AI-first ETL from Senseforce into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Senseforce into Yellowfin

Datrise syncs Senseforce's records, events, and configuration objects into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Senseforce: SaaS or API data source for analytics and warehouse sync.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Senseforce entities map to Yellowfin

Senseforce entityYellowfin objectNotes
recordssenseforce_recordsid PK · custom fields → flattened columns
eventssenseforce_eventsdate/time dimensions events
configuration objectssenseforce_configuration_objectsid PK · linked to senseforce_records

FAQ

How does Datrise handle Senseforce's custom fields in Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the Senseforce to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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