Shopify → Yellowfin
AI-first ETL from Shopify into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Shopify into Yellowfin
Datrise syncs Shopify's orders, products, customers, inventory levels, and fulfillment events into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Shopify: E-commerce platform for orders, catalog, and customer data.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Shopify entities map to Yellowfin
| Shopify entity | Yellowfin object | Notes |
|---|---|---|
| orders | shopify_orders | id PK · custom fields → flattened columns |
| products | shopify_products | id PK · linked to shopify_orders |
| customers | shopify_customers | id PK · linked to shopify_orders |
| inventory levels | shopify_inventory_levels | id PK · linked to shopify_orders |
FAQ
How does Datrise handle Shopify's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Shopify to Yellowfin 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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