Zoom → GoodData
AI-first ETL from Zoom into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zoom into GoodData
Datrise syncs Zoom's meetings, participants, webinars, recordings, and usage reports 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
Zoom: Video meetings, webinars, and workplace collaboration.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Zoom entities map to GoodData
| Zoom entity | GoodData object | Notes |
|---|---|---|
| meetings | zoom_meetings | id PK · custom fields → flattened columns |
| participants | zoom_participants | id PK · linked to zoom_meetings |
| webinars | zoom_webinars | id PK · linked to zoom_meetings |
| recordings | zoom_recordings | id PK · linked to zoom_meetings |
FAQ
How does Datrise handle Zoom'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 Zoom to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Zoom
Early access
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