DatriseAI-first ETL

Microsoft Azure Mode

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

How Datrise loads Microsoft Azure into Mode

Datrise syncs Microsoft Azure's records, events, and configuration objects into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Microsoft Azure entities map to Mode

Microsoft Azure entityMode objectNotes
recordsmicrosoft_azure_recordsid PK · custom fields → flattened columns for SQL and notebooks
eventsmicrosoft_azure_eventstemporal columns events
configuration objectsmicrosoft_azure_configuration_objectsid PK · linked to microsoft_azure_records

FAQ

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

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

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

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

Related pipelines

Early access

Connect Microsoft Azure to Mode the easy way

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