Zoom → ThoughtSpot
AI-first ETL from Zoom into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zoom into ThoughtSpot
Datrise syncs Zoom's meetings, participants, webinars, recordings, and usage reports into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Zoom: Video meetings, webinars, and workplace collaboration.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Zoom entities map to ThoughtSpot
| Zoom entity | ThoughtSpot object | Notes |
|---|---|---|
| meetings | zoom_meetings | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Zoom to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for Zoom
More sources for ThoughtSpot
Early access
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