DatriseAI-first ETL

Polygon Stock API to Yellowfin Integration

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 tickers, aggregate bars, trades, quotes, splits, and dividends 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: Equities market data, trades, and aggregates.

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

How Polygon Stock API entities map to Yellowfin

Polygon Stock API entityYellowfin objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns
aggregate barspolygon_stock_api_aggregate_barsid PK · linked to polygon_stock_api_tickers
tradespolygon_stock_api_tradesid PK · linked to polygon_stock_api_tickers
quotespolygon_stock_api_quotesid PK · linked to polygon_stock_api_tickers

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

Connect Polygon Stock API to Yellowfin the easy way

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