DatriseAI-first ETL

Polygon Stock API Tableau

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

How Datrise loads Polygon Stock API into Tableau

Datrise syncs Polygon Stock API's records, events, and configuration objects into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Polygon Stock API entities map to Tableau

Polygon Stock API entityTableau objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → flattened columns for Tableau fields
eventspolygon_stock_api_eventsdate/datetime fields 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 Tableau?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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