Microsoft Dataverse to MicroStrategy Integration
AI-first ETL from Microsoft Dataverse into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into MicroStrategy
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking 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 Dataverse: Business data platform behind Dynamics and Power Apps.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Microsoft Dataverse entities map to MicroStrategy
| Microsoft Dataverse entity | MicroStrategy object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → flattened columns |
| rows | microsoft_dataverse_rows | id PK · linked to microsoft_dataverse_tables |
| columns | microsoft_dataverse_columns | id PK · linked to microsoft_dataverse_tables |
| relationships | microsoft_dataverse_relationships | id PK · linked to microsoft_dataverse_tables |
FAQ
How does Datrise handle Microsoft Dataverse'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 Dataverse 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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Early access
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