DatriseAI-first ETL

Microsoft Sharepoint MicroStrategy

AI-first ETL from Microsoft Sharepoint into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Sharepoint into MicroStrategy

Datrise syncs Microsoft Sharepoint'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

Microsoft Sharepoint: SaaS or API data source for analytics and warehouse sync.

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

How Microsoft Sharepoint entities map to MicroStrategy

Microsoft Sharepoint entityMicroStrategy objectNotes
recordsmicrosoft_sharepoint_recordsid PK · custom fields → flattened columns
eventsmicrosoft_sharepoint_eventsdate/time dimensions events
configuration objectsmicrosoft_sharepoint_configuration_objectsid PK · linked to microsoft_sharepoint_records

FAQ

How does Datrise handle Microsoft Sharepoint'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 Microsoft Sharepoint 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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