DatriseAI-first ETL

Polygon Stock API Yellowfin

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

How Datrise loads Polygon Stock API into Yellowfin

Datrise syncs Polygon Stock API'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

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

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

How Polygon Stock API entities map to Yellowfin

Polygon Stock API entityYellowfin objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → flattened columns
eventspolygon_stock_api_eventsdate/time dimensions events
configuration objectspolygon_stock_api_configuration_objectsid PK · linked to polygon_stock_api_records

FAQ

How does Datrise handle Polygon Stock API'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 Polygon Stock API 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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