DatriseAI-first ETL

Pepperjam to Yellowfin Integration

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

How Datrise loads Pepperjam into Yellowfin

Datrise syncs Pepperjam's publishers, transactions, clicks, commissions, creatives, and programs 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

Pepperjam: Affiliate network performance and publisher payouts.

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

How Pepperjam entities map to Yellowfin

Pepperjam entityYellowfin objectNotes
publisherspepperjam_publishersid PK · custom fields → flattened columns
transactionspepperjam_transactionsid PK · linked to pepperjam_publishers
clickspepperjam_clicksid PK · linked to pepperjam_publishers
commissionspepperjam_commissionsid PK · linked to pepperjam_publishers

FAQ

How does Datrise handle Pepperjam'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 Pepperjam 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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