DatriseAI-first ETL

kvCORE to Azure Synapse Integration

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

How Datrise loads kvCORE into Azure Synapse

Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity 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

kvCORE: Real estate platform for lead generation and agent websites.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How kvCORE entities map to Azure Synapse

kvCORE entityAzure Synapse objectNotes
leadskvcore_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactskvcore_contactsid PK · linked to kvcore_leads
listingskvcore_listingsid PK · linked to kvcore_leads
smart campaignskvcore_smart_campaignsid PK · linked to kvcore_leads

FAQ

How does Datrise handle kvCORE'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 kvCORE 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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