DatriseAI-first ETL

Recreation Gov Microsoft Power BI

AI-first ETL from Recreation Gov into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.

How Datrise loads Recreation Gov into Microsoft Power BI

Datrise syncs Recreation Gov's records, events, and configuration objects into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.

Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.

Ideal for Microsoft-stack self-serve reporting.

Endpoints

Recreation Gov: SaaS or API data source for analytics and warehouse sync.

Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.

How Recreation Gov entities map to Microsoft Power BI

Recreation Gov entityMicrosoft Power BI objectNotes
recordsrecreation_gov_recordsid PK · custom fields → flattened columns (nested fields expanded)
eventsrecreation_gov_eventsdate/time columns with a date table events
configuration objectsrecreation_gov_configuration_objectsid PK · linked to recreation_gov_records

FAQ

How does Datrise handle Recreation Gov's custom fields in Microsoft Power BI?

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

How does the Recreation Gov to Microsoft Power BI sync stay up to date?

It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.

Related pipelines

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