DatriseAI-first ETL

Real Geeks to Azure Synapse Integration

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

How Datrise loads Real Geeks into Azure Synapse

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups 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

Real Geeks: Real estate lead generation sites with an integrated CRM.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Real Geeks entities map to Azure Synapse

Real Geeks entityAzure Synapse objectNotes
leadsreal_geeks_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

How does Datrise handle Real Geeks'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 Real Geeks 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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