Microsoft Dynamics 365 → Looker
AI-first ETL from Microsoft Dynamics 365 into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into Looker
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data 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 Dynamics 365: Microsoft enterprise CRM and ERP suite.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Microsoft Dynamics 365 entities map to Looker
| Microsoft Dynamics 365 entity | Looker object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | date/time dimension columns events |
| enterprise CRM process data | microsoft_dynamics_enterprise_crm_process_data | id PK · linked to microsoft_dynamics_accounts |
FAQ
How does Datrise handle Microsoft Dynamics 365'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 Dynamics 365 to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Microsoft Dynamics 365
- Microsoft Dynamics 365 → Looker Studio
- Microsoft Dynamics 365 → Microsoft Power BI
- Microsoft Dynamics 365 → Tableau
- Microsoft Dynamics 365 → Apache Superset
- Microsoft Dynamics 365 → Metabase
- Microsoft Dynamics 365 → Amazon QuickSight
- Microsoft Dynamics 365 → Domo
- Microsoft Dynamics 365 → Sisense
- Microsoft Dynamics 365 → ThoughtSpot
- Microsoft Dynamics 365 → Qlik
- Microsoft Dynamics 365 → Mode
- Microsoft Dynamics 365 → Redash
Early access
Connect Microsoft Dynamics 365 to Looker the easy way
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