3PL Central to Tableau Integration
AI-first ETL from 3PL Central into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Tableau
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
3PL Central: Third-party logistics warehouse and order operations.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How 3PL Central entities map to Tableau
| 3PL Central entity | Tableau object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns for Tableau 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 Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the 3PL Central to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
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