DatriseAI-first ETL

StackAdapt to Yellowfin Integration

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

How Datrise loads StackAdapt into Yellowfin

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, 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

StackAdapt: Programmatic advertising across native and display.

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

How StackAdapt entities map to Yellowfin

StackAdapt entityYellowfin objectNotes
campaignsstackadapt_campaignsid PK · custom fields → flattened columns
line itemsstackadapt_line_itemsid PK · linked to stackadapt_campaigns
creativesstackadapt_creativesid PK · linked to stackadapt_campaigns
spendstackadapt_spendid PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt'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 StackAdapt 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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