DatriseAI-first ETL

Microsoft Azure to Holistics Integration

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

How Datrise loads Microsoft Azure into Holistics

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Microsoft Azure: Azure subscription resources, usage, and billing.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Microsoft Azure entities map to Holistics

Microsoft Azure entityHolistics objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Microsoft Azure to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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