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

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Authenticate Google docs
Now, click the Google docs node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google docs settings. Authentication allows you to use Google docs through Latenode.
Configure the Google Cloud BigQuery and Google docs 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 docs 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, Google docs, 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 docs integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Google docs (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 docs
Google Cloud BigQuery + Google Docs + Slack: When data analysis in Google Cloud BigQuery indicates a significant change, a new document is created in Google Docs summarizing the findings, and a Slack message is sent to alert the team with a link to the document.
Google Docs + Google Sheets + Slack: When a new document is created in Google Docs, its content is summarized and added as a new row in Google Sheets. A Slack message is then sent to notify the team about the update in Google Sheets for analysis and reporting.
Google Cloud BigQuery and Google docs 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 docs
Automate document creation and updates with Google Docs in Latenode. Populate templates, extract text, and trigger workflows based on document changes. Connect Google Docs to CRMs, databases, or marketing tools to streamline content generation and approval processes. Less manual work, more consistent documents, and automated collaboration.
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FAQ Google Cloud BigQuery and Google docs
How can I connect my Google Cloud BigQuery account to Google docs using Latenode?
To connect your Google Cloud BigQuery account to Google docs 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 docs accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation using BigQuery data?
Yes, you can! Latenode's visual editor simplifies data extraction and document creation. Automatically update Google docs with BigQuery data for streamlined reporting.
What types of tasks can I perform by integrating Google Cloud BigQuery with Google docs?
Integrating Google Cloud BigQuery with Google docs allows you to perform various tasks, including:
- Generate weekly performance reports with key metrics.
- Create personalized documents using database information.
- Automate data-driven content creation for marketing materials.
- Populate Google docs templates with dynamic BigQuery data.
- Archive BigQuery data summaries into organized documents.
How does Latenode handle large datasets from Google Cloud BigQuery?
Latenode efficiently processes large datasets from Google Cloud BigQuery using optimized data streaming and batch processing, ensuring scalability.
Are there any limitations to the Google Cloud BigQuery and Google docs integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript code blocks.
- Document formatting options are limited to Google docs' capabilities.
- Real-time updates are subject to Google Cloud BigQuery's data refresh rate.