Public API to ThoughtSpot Integration
AI-first ETL from Public API into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into ThoughtSpot
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps 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
Public API: Generic REST endpoint pulled on a schedule.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Public API entities map to ThoughtSpot
| Public API entity | ThoughtSpot object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → flattened columns for searchable fields |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API'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 Public API to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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