3PL Central to Sisense Integration
AI-first ETL from 3PL Central into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Sisense
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Sisense: Analytics platform with elastic data models and embedded analytics.
How 3PL Central entities map to Sisense
| 3PL Central entity | Sisense object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns for the cube |
| 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 Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the 3PL Central to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for 3PL Central
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