Vero to GoodData Integration
AI-first ETL from Vero into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vero into GoodData
Datrise syncs Vero's users, events, campaigns, message events, segments, and user properties 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
Vero: Behavioral email and push messaging.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Vero entities map to GoodData
| Vero entity | GoodData object | Notes |
|---|---|---|
| users | vero_users | id PK · custom fields → flattened columns |
| events | vero_events | date dimensions events |
| campaigns | vero_campaigns | id PK · linked to vero_users |
| message events | vero_message_events | date dimensions events |
FAQ
How does Datrise handle Vero'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 Vero to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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