Microsoft Azure to GoodData Integration
AI-first ETL from Microsoft Azure into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Azure into GoodData
Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Microsoft Azure: Azure subscription resources, usage, and billing.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Microsoft Azure entities map to GoodData
| Microsoft Azure entity | GoodData object | Notes |
|---|---|---|
| subscriptions | microsoft_azure_subscriptions | id PK · custom fields → flattened columns |
| resource groups | microsoft_azure_resource_groups | id PK · linked to microsoft_azure_subscriptions |
| resources | microsoft_azure_resources | id PK · linked to microsoft_azure_subscriptions |
| usage records | microsoft_azure_usage_records | id PK · linked to microsoft_azure_subscriptions |
FAQ
How does Datrise handle Microsoft Azure's custom fields in GoodData?
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 GoodData types.
How does the Microsoft Azure to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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