DatriseAI-first ETL

Microsoft Dynamics 365 GoodData

AI-first ETL from Microsoft Dynamics 365 into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Dynamics 365 into GoodData

Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Microsoft Dynamics 365 entities map to GoodData

Microsoft Dynamics 365 entityGoodData objectNotes
accountsmicrosoft_dynamics_accountsid PK · custom fields → flattened columns
opportunitiesmicrosoft_dynamics_opportunitiesid PK · linked to microsoft_dynamics_accounts
activitiesmicrosoft_dynamics_activitiesdate dimensions events
enterprise CRM process datamicrosoft_dynamics_enterprise_crm_process_dataid PK · linked to microsoft_dynamics_accounts

FAQ

How does Datrise handle Microsoft Dynamics 365's custom fields in GoodData?

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

How does the Microsoft Dynamics 365 to GoodData sync stay up to date?

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

Related pipelines

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