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Vendo
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Microsoft Dataverse → Vendo → Google BigQuery

Integration guide

Connect Microsoft Dataverse to Google BigQuery

Connect Microsoft Dataverse to Google BigQuery through Vendo. Centralize supported Microsoft Dataverse data in Google BigQuery for governed reporting, modeling, and downstream activation. Your team confirms the supported data, identifiers, consent, history, schedule, and destination behavior before production use.

Problem and fit

Use Microsoft Dataverse and Google BigQuery as one connected workflow.

This workflow is useful when your team needs supported data from Microsoft Dataverse 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 Microsoft Dataverse 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 Microsoft Dataverse and Google BigQuery

Authorize both tools with the account access and permissions required for the agreed workflow.

2. Map Microsoft Dataverse data

Choose supported Microsoft Dataverse records and fields, then map them to the documented Google BigQuery schema, identity, and consent requirements.

3. Validate the Google BigQuery workflow

Test representative records, review unmatched, duplicate, late, and rejected data, and confirm the destination behavior before production use.

Move the right context between both platforms.

Supported Microsoft Dataverse records and fields selected during setup
Mapped Google BigQuery events, profiles, audiences, or tables supported by the destination workflow
Stable identifiers, consent fields, and deduplication keys required by the agreed mapping
Historical and incremental data within source API, retention, and destination limits

Put the connection to work.

Centralize Microsoft Dataverse data

Write supported Microsoft Dataverse records to governed Google BigQuery tables with documented schemas and update rules.

Build custom reporting and models

Combine source data with other approved datasets using visible definitions, identifiers, currencies, dates, and exclusions.

Power downstream workflows

Use reviewed warehouse models as inputs to analytics, audience, messaging, and conversion-signal workflows.

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.