RSS to Tableau Integration
AI-first ETL from RSS into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Tableau
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How RSS entities map to Tableau
| RSS entity | Tableau object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns for Tableau 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the RSS to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for RSS
Early access
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