Amazon Seller Partner to Looker Integration
AI-first ETL from Amazon Seller Partner into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon Seller Partner into Looker
Datrise syncs Amazon Seller Partner's orders, order items, listings, inventory, settlements, and FBA shipments 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
Amazon Seller Partner: Seller data for Amazon marketplace operations.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Amazon Seller Partner entities map to Looker
| Amazon Seller Partner entity | Looker object | Notes |
|---|---|---|
| orders | amazon_seller_partner_orders | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| order items | amazon_seller_partner_order_items | id PK · linked to amazon_seller_partner_orders |
| listings | amazon_seller_partner_listings | id PK · linked to amazon_seller_partner_orders |
| inventory | amazon_seller_partner_inventory | id PK · linked to amazon_seller_partner_orders |
FAQ
How does Datrise handle Amazon Seller Partner'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 Amazon Seller Partner 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 Amazon Seller Partner
- Amazon Seller Partner → Looker Studio
- Amazon Seller Partner → Microsoft Power BI
- Amazon Seller Partner → Tableau
- Amazon Seller Partner → Apache Superset
- Amazon Seller Partner → Metabase
- Amazon Seller Partner → Amazon QuickSight
- Amazon Seller Partner → Domo
- Amazon Seller Partner → Sisense
- Amazon Seller Partner → ThoughtSpot
- Amazon Seller Partner → Qlik
- Amazon Seller Partner → Mode
- Amazon Seller Partner → Redash
Early access
Connect Amazon Seller Partner to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.