RSS to ThoughtSpot Integration
AI-first ETL from RSS into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into ThoughtSpot
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories 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
RSS: Syndicated feed items from publishers and blogs.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How RSS entities map to ThoughtSpot
| RSS entity | ThoughtSpot object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns for searchable fields |
| titles | rss_titles | id PK · linked to rss_feed_items |
| links | rss_links | id PK · linked to rss_feed_items |
| publication dates | rss_publication_dates | id PK · linked to rss_feed_items |
FAQ
How does Datrise handle RSS'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 RSS to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for RSS
More sources for ThoughtSpot
Early access
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