DatriseAI-first ETL

Real Geeks MicroStrategy

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

How Datrise loads Real Geeks into MicroStrategy

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle events into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Real Geeks: Real estate CRM for leads, listings, and agent follow-up.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Real Geeks entities map to MicroStrategy

Real Geeks entityMicroStrategy objectNotes
contactsreal_geeks_contactsid PK · custom fields → flattened columns
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesdate/time dimensions events

FAQ

How does Datrise handle Real Geeks's custom fields in MicroStrategy?

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

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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