DatriseAI-first ETL

BoomTown to Azure Synapse Integration

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

How Datrise loads BoomTown into Azure Synapse

Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions 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

BoomTown: Real estate lead generation with predictive agent alerts.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How BoomTown entities map to Azure Synapse

BoomTown entityAzure Synapse objectNotes
leadsboomtown_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsboomtown_contactsid PK · linked to boomtown_leads
listingsboomtown_listingsid PK · linked to boomtown_leads
opportunitiesboomtown_opportunitiesid PK · linked to boomtown_leads

FAQ

How does Datrise handle BoomTown'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 BoomTown 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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