DatriseAI-first ETL

Microsoft Azure to Tableau Integration

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

How Datrise loads Microsoft Azure into Tableau

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Microsoft Azure entities map to Tableau

Microsoft Azure entityTableau objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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