Veeva CRM → Azure Synapse
AI-first ETL from Veeva CRM into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Veeva CRM into Azure Synapse
Datrise syncs Veeva CRM's contacts, accounts, deals, activities, and lifecycle events into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
Veeva CRM: Healthcare CRM for accounts, compliance, and field engagement.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Veeva CRM entities map to Azure Synapse
| Veeva CRM entity | Azure Synapse object | Notes |
|---|---|---|
| contacts | veeva_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | veeva_accounts | id PK · linked to veeva_contacts |
| deals | veeva_deals | id PK · linked to veeva_contacts |
| activities | veeva_activities | datetime2 events |
FAQ
How does Datrise handle Veeva CRM's custom fields in Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the Veeva CRM to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect Veeva CRM to Azure Synapse the easy way
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