3PL Central to Looker Integration
AI-first ETL from 3PL Central into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Looker
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How 3PL Central entities map to Looker
| 3PL Central entity | Looker object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| 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 Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the 3PL Central to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for 3PL Central
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