DatriseAI-first ETL

Microsoft Dynamics 365 CSV Files

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

How Datrise loads Microsoft Dynamics 365 into CSV Files

Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Microsoft Dynamics 365 entities map to CSV Files

Microsoft Dynamics 365 entityCSV Files objectNotes
accountsmicrosoft_dynamics_accountsid PK · custom fields → JSON-encoded strings for nested fields
opportunitiesmicrosoft_dynamics_opportunitiesid PK · linked to microsoft_dynamics_accounts
activitiesmicrosoft_dynamics_activitiesISO-8601 timestamp columns 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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

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

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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