Integration
Shopify + Google BigQuery Integration
Prepare supported Shopify customer, order, and storefront data for Google BigQuery. Vendo handles the connection and mapping; your team confirms which events, identifiers, consent rules, and historical range apply.
Problem and fit
When this connection is useful
This workflow is useful when your team needs supported data from Shopify to be available alongside or inside Google BigQuery. The connection still needs an agreed schema, stable identifiers, permissions, consent rules, and a clear policy for late, duplicate, rejected, and historical records.
What this page helps you evaluate
What Shopify and Google BigQuery data the workflow uses
Which mappings, identifiers, permissions, and consent rules need to be confirmed
Which problems the connection may help solve
Which limits must be tested before production use
How the setup works
1. Connect both tools
Authorize Shopify and Google BigQuery with the access required for the agreed workflow.
2. Map the data
Choose supported events and fields, then confirm identifiers, consent handling, naming, and destination requirements.
3. Validate before relying on it
Test sample records, review rejected or unmatched data, and confirm destination behavior before production use.
Data this workflow can use
Problems this workflow may help with
Query commerce data with SQL
Write configured Shopify events and records to approved BigQuery datasets with documented schemas.
Join commerce and payment records
Compare supported Shopify and payment fields using stable identifiers and explicit currency, refund, and date rules.
Control reporting definitions
Define metrics in reviewable SQL with source fields, filters, dates, timezones, and attribution assumptions visible.
FAQ
Frequently Asked Questions
Request Access
Check whether Vendo fits your current setup.
Bring the tools you use and one recurring data problem. We will explain what Vendo can handle, what setup is required, and any current limits.