DatriseAI-first ETL

Microsoft Azure to MicroStrategy Integration

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

How Datrise loads Microsoft Azure into MicroStrategy

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs 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 Azure: Azure subscription resources, usage, and billing.

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

How Microsoft Azure entities map to MicroStrategy

Microsoft Azure entityMicroStrategy objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → flattened columns
resource groupsmicrosoft_azure_resource_groupsid PK · linked to microsoft_azure_subscriptions
resourcesmicrosoft_azure_resourcesid PK · linked to microsoft_azure_subscriptions
usage recordsmicrosoft_azure_usage_recordsid PK · linked to microsoft_azure_subscriptions

FAQ

How does Datrise handle Microsoft Azure'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 Azure 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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