RD Station Marketing to Google BigQuery Integration
AI-first ETL from RD Station Marketing into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads RD Station Marketing into Google BigQuery
Datrise syncs RD Station Marketing's leads, conversions, landing pages, emails, segmentations, and funnel stages 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
RD Station Marketing: Inbound marketing automation for Latin American teams.
Google BigQuery: Serverless analytics warehouse on GCP.
How RD Station Marketing entities map to Google BigQuery
| RD Station Marketing entity | Google BigQuery object | Notes |
|---|---|---|
| leads | rd_station_marketing_leads | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| conversions | rd_station_marketing_conversions | id PK · linked to rd_station_marketing_leads |
| landing pages | rd_station_marketing_landing_pages | id PK · linked to rd_station_marketing_leads |
| emails | rd_station_marketing_emails | id PK · linked to rd_station_marketing_leads |
FAQ
How does Datrise handle RD Station Marketing'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 RD Station Marketing 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.
Related pipelines
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Early access
Connect RD Station Marketing to Google BigQuery the easy way
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