DatriseAI-first ETL

Microsoft Azure Metabase

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

How Datrise loads Microsoft Azure into Metabase

Datrise syncs Microsoft Azure's records, events, and configuration objects into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Microsoft Azure: SaaS or API data source for analytics and warehouse sync.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Microsoft Azure entities map to Metabase

Microsoft Azure entityMetabase objectNotes
recordsmicrosoft_azure_recordsid PK · custom fields → flattened columns for the question builder
eventsmicrosoft_azure_eventstemporal columns for trends events
configuration objectsmicrosoft_azure_configuration_objectsid PK · linked to microsoft_azure_records

FAQ

How does Datrise handle Microsoft Azure's custom fields in Metabase?

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

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

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

Related pipelines

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