DatriseAI-first ETL

Polygon Stock API to Looker Integration

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

How Datrise loads Polygon Stock API into Looker

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Polygon Stock API: Equities market data, trades, and aggregates.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Polygon Stock API entities map to Looker

Polygon Stock API entityLooker objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns (nested fields expanded for modeling)
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 Looker?

Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.

How does the Polygon Stock API to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

Early access

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