DatriseAI-first ETL

Salesforce Health Cloud Azure Synapse

AI-first ETL from Salesforce Health Cloud into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Health Cloud into Azure Synapse

Datrise syncs Salesforce Health Cloud'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

Salesforce Health Cloud: Healthcare CRM for accounts, compliance, and field engagement.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Salesforce Health Cloud entities map to Azure Synapse

Salesforce Health Cloud entityAzure Synapse objectNotes
contactssalesforce_health_cloud_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountssalesforce_health_cloud_accountsid PK · linked to salesforce_health_cloud_contacts
dealssalesforce_health_cloud_dealsid PK · linked to salesforce_health_cloud_contacts
activitiessalesforce_health_cloud_activitiesdatetime2 events

FAQ

How does Datrise handle Salesforce Health Cloud'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 Salesforce Health Cloud to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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