DatriseAI-first ETL

Selligent Yellowfin

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

How Datrise loads Selligent into Yellowfin

Datrise syncs Selligent'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

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

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

How Selligent entities map to Yellowfin

Selligent entityYellowfin objectNotes
recordsselligent_recordsid PK · custom fields → flattened columns
eventsselligent_eventsdate/time dimensions events
configuration objectsselligent_configuration_objectsid PK · linked to selligent_records

FAQ

How does Datrise handle Selligent'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 Selligent 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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