DatriseAI-first ETL

Aftership to Yellowfin Integration

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

How Datrise loads Aftership into Yellowfin

Datrise syncs Aftership's shipments, trackings, checkpoints, couriers, delivery statuses, and notifications 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

Aftership: Shipment tracking and delivery notifications.

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

How Aftership entities map to Yellowfin

Aftership entityYellowfin objectNotes
shipmentsaftership_shipmentsid PK · custom fields → flattened columns
trackingsaftership_trackingsid PK · linked to aftership_shipments
checkpointsaftership_checkpointsid PK · linked to aftership_shipments
couriersaftership_couriersid PK · linked to aftership_shipments

FAQ

How does Datrise handle Aftership'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 Aftership 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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