DatriseAI-first ETL

Amazon Seller Partner Yellowfin

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

How Datrise loads Amazon Seller Partner into Yellowfin

Datrise syncs Amazon Seller Partner's records, events, and configuration objects 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

Amazon Seller Partner: SaaS or API data source for analytics and warehouse sync.

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

How Amazon Seller Partner entities map to Yellowfin

Amazon Seller Partner entityYellowfin objectNotes
recordsamazon_seller_partner_recordsid PK · custom fields → flattened columns
eventsamazon_seller_partner_eventsdate/time dimensions events
configuration objectsamazon_seller_partner_configuration_objectsid PK · linked to amazon_seller_partner_records

FAQ

How does Datrise handle Amazon Seller Partner'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 Amazon Seller Partner to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Amazon Seller Partner to Yellowfin the easy way

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