Taboola to GoodData Integration
AI-first ETL from Taboola into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Taboola into GoodData
Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Taboola: Content recommendation and native advertising.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Taboola entities map to GoodData
| Taboola entity | GoodData 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 GoodData?
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 GoodData types.
How does the Taboola to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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