3PL Central to Looker Studio Integration
AI-first ETL from 3PL Central into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Looker Studio
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How 3PL Central entities map to Looker Studio
| 3PL Central entity | Looker Studio object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns for chart fields |
| 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 Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the 3PL Central to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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