DatriseAI-first ETL

LinkedIn Ads Yellowfin

AI-first ETL from LinkedIn Ads into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads LinkedIn Ads into Yellowfin

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance 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

LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How LinkedIn Ads entities map to Yellowfin

LinkedIn Ads entityYellowfin objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → flattened columns
spendlinkedin_ads_spendid PK · linked to linkedin_ads_b2b_campaign_metrics
clickslinkedin_ads_clicksid PK · linked to linkedin_ads_b2b_campaign_metrics
leadslinkedin_ads_leadsid PK · linked to linkedin_ads_b2b_campaign_metrics

FAQ

How does Datrise handle LinkedIn Ads'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 LinkedIn Ads to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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