Taboola to Yellowfin Integration
AI-first ETL from Taboola into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Taboola into Yellowfin
Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Taboola: Content recommendation and native advertising.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Taboola entities map to Yellowfin
| Taboola entity | Yellowfin object | Notes |
|---|---|---|
| campaigns | taboola_campaigns | id PK · custom fields → flattened columns |
| campaign items | taboola_campaign_items | id PK · linked to taboola_campaigns |
| sites | taboola_sites | id PK · linked to taboola_campaigns |
| spend | taboola_spend | id PK · linked to taboola_campaigns |
FAQ
How does Datrise handle Taboola's custom fields in Yellowfin?
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 Yellowfin types.
How does the Taboola to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Taboola
Early access
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