DatriseAI-first ETL

News API to ThoughtSpot Integration

AI-first ETL from News API into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into ThoughtSpot

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How News API entities map to ThoughtSpot

News API entityThoughtSpot objectNotes
articlesnews_api_articlesid PK · custom fields → flattened columns for searchable fields
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News 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 News API to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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