DatriseAI-first ETL

VinSolutions Azure Synapse

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

How Datrise loads VinSolutions into Azure Synapse

Datrise syncs VinSolutions'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

VinSolutions: Automotive dealer CRM for leads, inventory, and showroom workflows.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How VinSolutions entities map to Azure Synapse

VinSolutions entityAzure Synapse objectNotes
contactsvinsolutions_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsvinsolutions_accountsid PK · linked to vinsolutions_contacts
dealsvinsolutions_dealsid PK · linked to vinsolutions_contacts
activitiesvinsolutions_activitiesdatetime2 events

FAQ

How does Datrise handle VinSolutions'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 VinSolutions 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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