Taboola to Qlik Integration
AI-first ETL from Taboola into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Taboola into Qlik
Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Taboola: Content recommendation and native advertising.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Taboola entities map to Qlik
| Taboola entity | Qlik object | Notes |
|---|---|---|
| campaigns | taboola_campaigns | id PK · custom fields → flattened columns for the data model |
| 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Taboola to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
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