3PL Central to Amazon QuickSight Integration
AI-first ETL from 3PL Central into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Amazon QuickSight
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How 3PL Central entities map to Amazon QuickSight
| 3PL Central entity | Amazon QuickSight object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns for analyses |
| receipts | tplcentral_receipts | id PK · linked to tplcentral_orders |
| inventory levels | tplcentral_inventory_levels | id PK · linked to tplcentral_orders |
| items | tplcentral_items | id PK · linked to tplcentral_orders |
FAQ
How does Datrise handle 3PL Central's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the 3PL Central to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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