Microsoft Dynamics 365 → Qlik
AI-first ETL from Microsoft Dynamics 365 into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into Qlik
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Microsoft Dynamics 365 entities map to Qlik
| Microsoft Dynamics 365 entity | Qlik object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → flattened columns for the data model |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | date/time fields 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Microsoft Dynamics 365 to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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