DatriseAI-first ETL

3PL Central to ThoughtSpot Integration

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

How Datrise loads 3PL Central into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How 3PL Central entities map to ThoughtSpot

3PL Central entityThoughtSpot objectNotes
orderstplcentral_ordersid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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