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Zapier makes it easy to integrate GitHub with Google BigQuery - no code necessary. See how you can get setup in minutes.

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GitHub
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GitHub
1. Choose trigger event
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Google BigQuery
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Google BigQuery
2. Choose action
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1. Select the event
Setup
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GitHub
Choose a trigger event

Choose a trigger

A trigger is the event that starts your Zap—like a "New Branch" from GitHub.

Add your action

An action happens after the trigger—such as "Create Row" in Google BigQuery.

You’re connected!

Zapier seamlessly connects GitHub and Google BigQuery, automating your workflow.

Supported triggers and actions

Zapier helps you create workflows that connect your apps to automate repetitive tasks. A trigger is an event that starts a workflow, and an action is an event a Zap performs.

    • Repo
      Required
    Trigger
    Polling
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    • Repo
      Required
    Trigger
    Polling
    Try It
    • Repo
      Required
    • Issue_only
    Trigger
    Polling
    Try It
    • Actor of Event
      Required
    Trigger
    Polling
    Try It

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Connect GitHub and Google BigQuery to integrate crucial parts of your business

With Zapier, you can integrate everything from basic data entry to end-to-end processes. Here are some of the business-critical workflows that people automate with Zapier.

Automate your lead management and improve conversions

With Zapier, you can automate every part of your lead funnel and give yourself the best chance at converting leads. Automate everything from lead capture to outreach to reporting—and close more deals as a result.
An illustration representing how to automate lead management with Zapier.

Create more impactful campaigns with automation

Measuring campaign performance across platforms can get chaotic. Plus, digging up the right metrics costs you precious time and effort. With Zapier, you can create a centralized view of your performance, skillfully manage your lists, and ensure your campaigns drive ROI across the business.
An illustration representing how to measure campaign impact with Zapier.

Provide world-class support with a little help from automation

Support reps can't be productive when they have to track down crucial information for every incident or ticket. With Zapier, you can automatically send your reps the context they need to resolve tickets quickly and create a seamless customer experience.
An illustration representing how to automate customer support with Zapier.

Automate your way to actionable, up-to-date data

The days of manually exporting and importing data are over. With Zapier, you can send data where it needs to go, in the format you need it—so you can centralize your data and unlock more insights.
An illustration representing how to move and manage data with Zapier.

Resolve incidents faster with automation

Your technical support team wants to focus on tech tickets rather than admin work. With Zapier, you can automate everything from ticket creation to routing to inter-team communication—eliminating friction from incident management and increasing speed to resolution.
An illustration of a flow chart representing how to resolve tickets and incidents with Zapier.

Learn how to automate GitHub on the Zapier blog

Learn how to automate Google BigQuery on the Zapier blog

Make work flow with AI

Level up your GitHub to Google BigQuery integration with AI. Extract, summarize, and transform your integration data with leading AI models like OpenAI, Anthropic, and more.
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Frequently Asked Questions about GitHub + Google BigQuery integrations

New to automation with Zapier? You're not alone. Here are some answers to common questions about how Zapier works with GitHub and Google BigQuery

How do I start integrating GitHub with Google BigQuery?

To begin integrating GitHub with Google BigQuery, you'll need to set up a connection through our platform. You'll connect your GitHub account and authorize access, then do the same with Google BigQuery. This setup allows us to automate data transfers and other actions between these two services according to your specified triggers.

Can I automatically import GitHub repository data into BigQuery?

Yes, you can set triggers in our system for specific events on GitHub repositories (such as commits or pull requests) that will automatically export the relevant data into Google BigQuery tables. This keeps your analytical datasets current without manual updates.

What kind of GitHub events can trigger actions in Google BigQuery?

Our integration supports various GitHub events like push commits, opening or closing issues, and pull request updates. Once triggered, these events can initiate automated actions such as data transfers or updates within your Google BigQuery environment.

Is it possible to update Google BigQuery datasets based on specific commits in a GitHub repository?

Absolutely. You can customize triggers so that whenever certain types of commits are made in your GitHub repository, a designated dataset in Google BigQuery is updated accordingly.

Do I need coding skills to set up this integration between GitHub and Google BigQuery?

No coding skills are necessary to establish the integration. Our platform provides an intuitive interface where you can define triggers and actions using simple steps without writing any code.

How secure is the integration between my GitHub and Google BigQuery accounts?

We prioritize security by using OAuth for authentication when connecting to your accounts. This ensures that only authorized users have access to integrate and automate tasks between Github and Google BigQuery.

Can this integration handle large volumes of data transferred from a repository to a dataset?

Yes, the integration is designed to securely handle large volumes of data transferred from your GitHub repository to your datasets in Google BigQuery. It's built for scalability and efficiency even with large datasets.

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About GitHub
GitHub is the perfect place to share code and work collaboratively on private and open source software.
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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.
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