RSS to Birst Integration
AI-first ETL from RSS into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Birst
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How RSS entities map to Birst
| RSS entity | Birst object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns |
| 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the RSS to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for RSS
Early access
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