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Shopify → Vendo → Google BigQuery

Integration guide

Connect Shopify to Google BigQuery

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

Use Shopify and Google BigQuery as one connected workflow.

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.

Before you connect

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

Vendo handles the connection between both tools.

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.

Move the right context between both platforms.

Configured storefront events supported by the Shopify setup
Order, fulfillment, refund, and customer records available from Shopify
Customer fields that have a reliable destination identifier
Historical records within the available API and retention window

Put the connection to work.

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.