kvCORE → GoodData
AI-first ETL from kvCORE into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into GoodData
Datrise syncs kvCORE'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
kvCORE: Real estate CRM for leads, listings, and agent follow-up.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How kvCORE entities map to GoodData
| kvCORE entity | GoodData object | Notes |
|---|---|---|
| contacts | kvcore_contacts | id PK · custom fields → flattened columns |
| accounts | kvcore_accounts | id PK · linked to kvcore_contacts |
| deals | kvcore_deals | id PK · linked to kvcore_contacts |
| activities | kvcore_activities | date dimensions events |
FAQ
How does Datrise handle kvCORE'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 kvCORE to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for kvCORE
Early access
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