DatriseAI-first ETL

Linnworks to Yellowfin Integration

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

How Datrise loads Linnworks into Yellowfin

Datrise syncs Linnworks's orders, stock items, channels, shipments, suppliers, and inventory levels 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

Linnworks: Multichannel order and inventory management.

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

How Linnworks entities map to Yellowfin

Linnworks entityYellowfin objectNotes
orderslinnworks_ordersid PK · custom fields → flattened columns
stock itemslinnworks_stock_itemsid PK · linked to linnworks_orders
channelslinnworks_channelsid PK · linked to linnworks_orders
shipmentslinnworks_shipmentsid PK · linked to linnworks_orders

FAQ

How does Datrise handle Linnworks'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 Linnworks 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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