DatriseAI-first ETL

Real Geeks GoodData

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

How Datrise loads Real Geeks into GoodData

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle events into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Real Geeks entities map to GoodData

Real Geeks entityGoodData 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 dimensions events

FAQ

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

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 GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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