DatriseAI-first ETL

Primetric Yellowfin

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

How Datrise loads Primetric into Yellowfin

Datrise syncs Primetric'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

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

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

How Primetric entities map to Yellowfin

Primetric entityYellowfin objectNotes
recordsprimetric_recordsid PK · custom fields → flattened columns
eventsprimetric_eventsdate/time dimensions events
configuration objectsprimetric_configuration_objectsid PK · linked to primetric_records

FAQ

How does Datrise handle Primetric'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 Primetric 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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