Connect Microsoft Power BI and Google Bigquery
Integrate Microsoft Power BI with Google Bigquery to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Table in Google BigQuery when New Dataset in Microsoft-power-bi
List BigQuery Projects in Google BigQuery when New Dataset in Microsoft-power-bi
Update Rows in Google BigQuery when New Dataset in Microsoft-power-bi
Delete Rows from Google BigQuery when New Dataset in Microsoft-power-bi
Insert Rows into Google BigQuery when New Dataset in Microsoft-power-bi
Popular Microsoft Power BI + Google Bigquery flows
Start from a real workflow other teams are already running.
Choose a trigger
Microsoft Power BI
When this happens...
New Dataset
Choose an action
Google Bigquery
Automatically do this!
Delete Rows
Run SQL Query
Insert Rows
Update Rows
Create Table
List BigQuery Projects
List Datasets in Project
List Tables In Dataset
Create Table in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowList BigQuery Projects in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowUpdate Rows in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowDelete Rows from Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowInsert Rows into Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowList Tables In Dataset in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowList Datasets in Project in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowRun SQL Query in Google BigQuery when New Dataset in Microsoft-power-bi
Use this flowSupported Triggers & Actions
Everything you can automate between Microsoft Power BI and Google Bigquery.
When this happensTriggers
A trigger is an event that starts a workflow.
New Dataset
Triggered when a new dataset is created in Power BI.
Do thisActions
Action is the task that follows automatically within your Microsoft Power BI integrations.
Get all Reports
Get all existing reports.
Trigger Dataset Refresh
Trigger a dataset refresh
Delete a Dataset
Delete an existing dataset
Delete Rows
Deletes rows in a Google BigQuery table that match the condition you provide.
Run SQL Query
Run a SQL query on Google BigQuery and return the results.
Insert Rows
Adds one or more rows to a BigQuery table.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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Learn how to automate Microsoft Power BI and Google Bigquery workflows.
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About Microsoft Power BI
Microsoft Power BI is a powerful business analytics tool that enables users to visualize and share insights from their data. It provides interactive dashboards and reports, allowing organizations to make data-driven decisions efficiently.
Learn moreSimilar apps
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreFrequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Microsoft Power BI and Google Bigquery accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Microsoft Power BI and Google Bigquery as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Google Bigquery. No coding required.
Yes. You can set up a workflow where Microsoft Power BI triggers actions in Google Bigquery, and a separate workflow where Google Bigquery triggers actions in Microsoft Power BI. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Microsoft Power BI and Google Bigquery. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Microsoft Power BI and Google Bigquery integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
