DatriseAI-first ETL

3PL Central to Spotfire Integration

AI-first ETL from 3PL Central into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads 3PL Central into Spotfire

Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

3PL Central: Third-party logistics warehouse and order operations.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How 3PL Central entities map to Spotfire

3PL Central entitySpotfire objectNotes
orderstplcentral_ordersid PK · custom fields → flattened columns for visualizations
receiptstplcentral_receiptsid PK · linked to tplcentral_orders
inventory levelstplcentral_inventory_levelsid PK · linked to tplcentral_orders
itemstplcentral_itemsid PK · linked to tplcentral_orders

FAQ

How does Datrise handle 3PL Central's custom fields in Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the 3PL Central to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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