Google Analytics → ThoughtSpot
AI-first ETL from Google Analytics into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into ThoughtSpot
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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
Google Analytics: Web and product analytics for behavior and traffic insights.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Google Analytics entities map to ThoughtSpot
| Google Analytics entity | ThoughtSpot object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → flattened columns for searchable fields |
| events | google_analytics_events | date/time columns events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 Google Analytics to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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