DatriseAI-first ETL

Google Ecommerce to Yellowfin Integration

AI-first ETL from Google Ecommerce into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Ecommerce into Yellowfin

Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds 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

Google Ecommerce: Ecommerce reporting from Google Analytics.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Google Ecommerce entities map to Yellowfin

Google Ecommerce entityYellowfin objectNotes
transactionsgoogle_ecommerce_transactionsid PK · custom fields → flattened columns
productsgoogle_ecommerce_productsid PK · linked to google_ecommerce_transactions
product impressionsgoogle_ecommerce_product_impressionsid PK · linked to google_ecommerce_transactions
checkout stepsgoogle_ecommerce_checkout_stepsid PK · linked to google_ecommerce_transactions

FAQ

How does Datrise handle Google Ecommerce'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 Google Ecommerce to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect Google Ecommerce to Yellowfin the easy way

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