DatriseAI-first ETL

Real Geeks to Tableau Integration

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

How Datrise loads Real Geeks into Tableau

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Real Geeks entities map to Tableau

Real Geeks entityTableau objectNotes
leadsreal_geeks_leadsid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.

How does the Real Geeks to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

Early access

Connect Real Geeks to Tableau the easy way

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