DatriseAI-first ETL

Gong Yellowfin

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

How Datrise loads Gong into Yellowfin

Datrise syncs Gong'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

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

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

How Gong entities map to Yellowfin

Gong entityYellowfin objectNotes
recordsgong_recordsid PK · custom fields → flattened columns
eventsgong_eventsdate/time dimensions events
configuration objectsgong_configuration_objectsid PK · linked to gong_records

FAQ

How does Datrise handle Gong'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 Gong 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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