RSS to Google BigQuery Integration
AI-first ETL from RSS into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Google BigQuery
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Google BigQuery: Serverless analytics warehouse on GCP.
How RSS entities map to Google BigQuery
| RSS entity | Google BigQuery object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the RSS to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
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Early access
Connect RSS to Google BigQuery the easy way
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