Connect Google Bigquery and Microsoft Power BI
Integrate Google Bigquery with Microsoft Power BI to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Delete Rows from Google BigQuery when New Dataset in Microsoft-power-bi
Run SQL Query in Google BigQuery when New Dataset in Microsoft-power-bi
Insert Rows into Google BigQuery when New Dataset in Microsoft-power-bi
Update Rows in Google BigQuery when New Dataset in Microsoft-power-bi
Create Table in Google BigQuery when New Dataset in Microsoft-power-bi
Popular Google Bigquery + Microsoft Power BI flows
Start from a real workflow other teams are already running.
Choose a trigger
Google Bigquery
When this happens...
- Request a new Trigger for Google Bigquery
Choose an action
Microsoft Power BI
Automatically do this!
Get all Reports
Trigger Dataset Refresh
Delete a Dataset
Delete Rows from 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 flowInsert Rows into 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 flowCreate 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 flowList Datasets in Project in 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 flowSupported Triggers & Actions
Everything you can automate between Google Bigquery and Microsoft Power BI.
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 Google Bigquery integrations.
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.
Update Rows
Change specific fields for rows in a BigQuery table that match the rules you provide.
Create Table
Creates a new, empty table in a BigQuery dataset.
List BigQuery Projects
Lists the BigQuery projects you have access to.
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 Google Bigquery and Microsoft Power BI workflows.
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About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreAbout 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
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Google Bigquery and Microsoft Power BI 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 Google Bigquery and Microsoft Power BI 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 Microsoft Power BI. No coding required.
Yes. You can set up a workflow where Google Bigquery triggers actions in Microsoft Power BI, and a separate workflow where Microsoft Power BI triggers actions in Google Bigquery. 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 Google Bigquery and Microsoft Power BI. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Google Bigquery and Microsoft Power BI integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
