How to connect Google Cloud BigQuery and Linear
Create a New Scenario to Connect Google Cloud BigQuery and Linear
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 Linear will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Linear, 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 Linear Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Linear from the list of available apps, and choose the action you need from the list of nodes within Linear.

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Authenticate Linear
Now, click the Linear node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Linear settings. Authentication allows you to use Linear through Latenode.
Configure the Google Cloud BigQuery and Linear 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 Linear 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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AI Anthropic Claude 3
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Linear
Trigger on Webhook
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Google Cloud BigQuery
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Linear, 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 Linear integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Linear (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 Linear
Google Cloud BigQuery + Linear + Slack: When a query in BigQuery identifies potential performance issues, the automation will find and update the relevant issue in Linear, and post a message to a designated Slack channel to alert the team.
Linear + Google Cloud BigQuery + Jira: When a Linear issue is closed, the automation will log the resolution time in BigQuery and then update the corresponding Jira ticket with a comment indicating the resolution details.
Google Cloud BigQuery and Linear 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 Linear
Connect Linear to Latenode for automated issue tracking. Streamline bug reporting from various sources. Automatically create Linear issues from form submissions or customer support tickets. Update issue statuses based on events in other systems like Git or CI/CD pipelines, all within a scalable, low-code workflow.
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See how Latenode works
FAQ Google Cloud BigQuery and Linear
How can I connect my Google Cloud BigQuery account to Linear using Latenode?
To connect your Google Cloud BigQuery account to Linear 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 Linear accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync BigQuery data to Linear issues?
Yes, you can! Latenode's data transformation capabilities let you easily map BigQuery data to Linear issue fields, automating issue creation and updates based on data insights.
What types of tasks can I perform by integrating Google Cloud BigQuery with Linear?
Integrating Google Cloud BigQuery with Linear allows you to perform various tasks, including:
- Automatically creating Linear issues from Google Cloud BigQuery data anomalies.
- Updating Linear issue priority based on Google Cloud BigQuery performance metrics.
- Generating summary reports in Linear from Google Cloud BigQuery datasets.
- Triggering Linear issue assignment based on Google Cloud BigQuery query results.
- Populating Linear issue descriptions with data extracted from Google Cloud BigQuery.
Can Latenode handle large BigQuery datasets efficiently?
Yes, Latenode is designed to handle large datasets, processing BigQuery data efficiently with scalable resources and optimized data handling for automation.
Are there any limitations to the Google Cloud BigQuery and Linear integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial setup requires familiarity with Google Cloud BigQuery API configurations.
- Complex data transformations may require JavaScript knowledge.
- Rate limits from Google Cloud BigQuery and Linear APIs can affect high-volume workflows.