How to connect Google Cloud BigQuery and Github
Create a New Scenario to Connect Google Cloud BigQuery and Github
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Github will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Github, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Github Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Github from the list of available apps, and choose the action you need from the list of nodes within Github.

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Authenticate Github
Now, click the Github node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Github settings. Authentication allows you to use Github through Latenode.
Configure the Google Cloud BigQuery and Github Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery and Github Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Github, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery and Github integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Github (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and Github
Github + Google Cloud BigQuery + Slack: When a new commit is made to a Github repository, the commit data is sent to Google Cloud BigQuery for analysis. Summary statistics are then sent to a designated Slack channel.
Google Cloud BigQuery + Github + Google Sheets: After a BigQuery query is run that analyzes Github commits, the results are stored in a Google Sheet, allowing easy creation of reports and sharing with a team for review.
Google Cloud BigQuery and Github integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Github
Automate code management with Github in Latenode. Trigger workflows on commits, pull requests, or issues. Build automated CI/CD pipelines, track code changes, and sync repo data with project management tools. Scale code-related automations easily and add custom logic with JavaScript nodes.
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See how Latenode works
FAQ Google Cloud BigQuery and Github
How can I connect my Google Cloud BigQuery account to Github using Latenode?
To connect your Google Cloud BigQuery account to Github on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Github accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger BigQuery queries on Github code commits?
Yes, you can! Latenode lets you visually automate this, triggering BigQuery queries whenever code is committed. Analyze code quality metrics and track project progress instantly.
What types of tasks can I perform by integrating Google Cloud BigQuery with Github?
Integrating Google Cloud BigQuery with Github allows you to perform various tasks, including:
- Automatically exporting Github issue data to Google Cloud BigQuery for analysis.
- Triggering data analysis in BigQuery when new code is pushed to Github.
- Creating reports on code contribution and activity using BigQuery data.
- Monitoring Github repository statistics and storing them in Google Cloud BigQuery.
- Generating alerts based on data discrepancies found between Github and BigQuery.
HowsecureisintegratingGoogleCloudBigQuerywithGithubusingLatenode?
Latenode employs secure authentication and data encryption to protect your data during Google Cloud BigQuery and Github integration workflows. Your credentials remain safe.
Are there any limitations to the Google Cloud BigQuery and Github integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Cloud BigQuery and Github APIs may affect performance.
- Complex data transformations might require custom JavaScript code.
- Initial setup requires familiarity with both Google Cloud BigQuery and Github permissions.