DatriseAI-first ETL

Polygon Stock API MicroStrategy

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

How Datrise loads Polygon Stock API into MicroStrategy

Datrise syncs Polygon Stock API's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Polygon Stock API entities map to MicroStrategy

Polygon Stock API entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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