Aftership to Spotfire Integration
AI-first ETL from Aftership into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Aftership into Spotfire
Datrise syncs Aftership's shipments, trackings, checkpoints, couriers, delivery statuses, and notifications into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
Aftership: Shipment tracking and delivery notifications.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Aftership entities map to Spotfire
| Aftership entity | Spotfire object | Notes |
|---|---|---|
| shipments | aftership_shipments | id PK · custom fields → flattened columns for visualizations |
| trackings | aftership_trackings | id PK · linked to aftership_shipments |
| checkpoints | aftership_checkpoints | id PK · linked to aftership_shipments |
| couriers | aftership_couriers | id PK · linked to aftership_shipments |
FAQ
How does Datrise handle Aftership's custom fields in Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the Aftership to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
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