Microsoft Azure to ThoughtSpot Integration
AI-first ETL from Microsoft Azure into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Azure into ThoughtSpot
Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Microsoft Azure: Azure subscription resources, usage, and billing.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Microsoft Azure entities map to ThoughtSpot
| Microsoft Azure entity | ThoughtSpot object | Notes |
|---|---|---|
| subscriptions | microsoft_azure_subscriptions | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Microsoft Azure to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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