Microsoft Dynamics 365 → Azure Data Lake Storage
AI-first ETL from Microsoft Dynamics 365 into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into Azure Data Lake Storage
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Microsoft Dynamics 365 entities map to Azure Data Lake Storage
| Microsoft Dynamics 365 entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → nested struct/map fields in Parquet |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | ISO-8601 timestamp 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 Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Microsoft Dynamics 365 to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Microsoft Dynamics 365
- Microsoft Dynamics 365 → Azure Synapse
- Microsoft Dynamics 365 → Spreadsheets
- Microsoft Dynamics 365 → Airtable
- Microsoft Dynamics 365 → CSV Files
- Microsoft Dynamics 365 → MongoDB
- Microsoft Dynamics 365 → Supabase
- Microsoft Dynamics 365 → Neon
- Microsoft Dynamics 365 → PlanetScale
- Microsoft Dynamics 365 → Amazon DynamoDB
- Microsoft Dynamics 365 → Looker
- Microsoft Dynamics 365 → Looker Studio
- Microsoft Dynamics 365 → Microsoft Power BI
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Early access
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