DatriseAI-first ETL

Microsoft Teams Looker

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

How Datrise loads Microsoft Teams into Looker

Datrise syncs Microsoft Teams's records, events, and configuration objects into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

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

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Microsoft Teams entities map to Looker

Microsoft Teams entityLooker objectNotes
recordsmicrosoft_teams_recordsid PK · custom fields → flattened columns (nested fields expanded for modeling)
eventsmicrosoft_teams_eventsdate/time dimension columns events
configuration objectsmicrosoft_teams_configuration_objectsid PK · linked to microsoft_teams_records

FAQ

How does Datrise handle Microsoft Teams's custom fields in Looker?

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

How does the Microsoft Teams to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

Early access

Connect Microsoft Teams to Looker the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.