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

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Google Drive, 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 Google Drive integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Google Drive (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 Google Drive
Google Drive + Google Sheets + Slack: When a new file is added to a specific Google Drive folder, its information is added as a new row in a Google Sheet. Subsequently, a Slack message is sent to a designated channel, notifying the team about the new file and linking to the Google Sheet.
Google Sheets + Google Drive + Slack: When a new row is added to a Google Sheet, the data from that row is used to create a new file from a template in Google Drive. A Slack message is then sent to a channel with a link to the newly created file.
Google Cloud BigQuery and Google Drive 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 Google Drive
Automate file management with Google Drive in Latenode. Trigger workflows from new files, automatically back up data, or sync documents across platforms. Use Latenode's visual editor and built-in tools for custom logic, JavaScript, and AI. Scale your Google Drive workflows without code and connect to any service.
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FAQ Google Cloud BigQuery and Google Drive
How can I connect my Google Cloud BigQuery account to Google Drive using Latenode?
To connect your Google Cloud BigQuery account to Google Drive 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 Google Drive accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation using Google Cloud BigQuery and Google Drive integration?
Yes, you can! Latenode lets you schedule automated reports from BigQuery, save them directly to Drive, and share them. Save time and resources with code-free automation.
What types of tasks can I perform by integrating Google Cloud BigQuery with Google Drive?
Integrating Google Cloud BigQuery with Google Drive allows you to perform various tasks, including:
- Automatically backing up BigQuery data to Google Drive on a schedule.
- Exporting query results from BigQuery to Google Sheets in Google Drive.
- Creating shareable reports in Google Docs from BigQuery data.
- Triggering workflows based on data changes in BigQuery tables, saved to Drive.
- Analyzing large datasets in BigQuery and storing key findings in Google Drive.
How secure is Google Cloud BigQuery data access through Latenode?
Latenode uses secure authentication protocols and encryption to ensure your Google Cloud BigQuery data remains protected during all integration processes.
Are there any limitations to the Google Cloud BigQuery and Google Drive integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Cloud BigQuery's API usage limits.
- Real-time data synchronization depends on the frequency of scheduled workflows.
- Complex data transformations may require JavaScript knowledge within Latenode.