How to connect Google Cloud BigQuery (REST) and GoCanvas
Create a New Scenario to Connect Google Cloud BigQuery (REST) and GoCanvas
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 (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or GoCanvas will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or GoCanvas, and select the appropriate trigger to start the scenario.

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

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

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Authenticate GoCanvas
Now, click the GoCanvas node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your GoCanvas settings. Authentication allows you to use GoCanvas through Latenode.
Configure the Google Cloud BigQuery (REST) and GoCanvas 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 (REST) and GoCanvas 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 (REST), GoCanvas, 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 (REST) and GoCanvas integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and GoCanvas (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 (REST) and GoCanvas
GoCanvas + Google Cloud BigQuery + Google Sheets: When a new submission is created in GoCanvas, the data is analyzed in Google Cloud BigQuery. The analyzed data is then summarized and added to a Google Sheet for reporting.
Google Cloud BigQuery + GoCanvas + Slack: When a new row is added to Google Sheets, a notification is sent to a Slack channel. This will trigger the creation of a new inspection form on GoCanvas.
Google Cloud BigQuery (REST) and GoCanvas integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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About GoCanvas
Use GoCanvas with Latenode to automate data capture from mobile forms into your workflows. Integrate field data directly into databases or CRMs. Trigger follow-up actions based on form submissions, like generating reports or sending notifications. Simplify field operations and improve data accuracy inside Latenode’s visual environment.
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FAQ Google Cloud BigQuery (REST) and GoCanvas
How can I connect my Google Cloud BigQuery (REST) account to GoCanvas using Latenode?
To connect your Google Cloud BigQuery (REST) account to GoCanvas on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and GoCanvas accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze GoCanvas form data in Google Cloud BigQuery (REST)?
Yes, you can! Latenode's integration allows seamless transfer of GoCanvas data to Google Cloud BigQuery (REST) for in-depth analysis, unlocking powerful business intelligence and reporting.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with GoCanvas?
Integrating Google Cloud BigQuery (REST) with GoCanvas allows you to perform various tasks, including:
- Automatically backing up GoCanvas submission data to Google Cloud BigQuery (REST).
- Creating custom reports based on combined GoCanvas and BigQuery datasets.
- Triggering alerts based on data analysis within Google Cloud BigQuery (REST).
- Visualizing trends in GoCanvas data using BigQuery's analytics tools.
- Enriching GoCanvas data with external sources via Google Cloud BigQuery (REST).
HowsecureistheGoogleCloudBigQuery(REST)connectioninLatenode?
Latenode uses secure authentication protocols to protect your Google Cloud BigQuery (REST) connection, ensuring data privacy and compliance.
Are there any limitations to the Google Cloud BigQuery (REST) and GoCanvas integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may incur Google Cloud BigQuery (REST) costs.
- Real-time data synchronization depends on API availability and rate limits.
- Complex data transformations may require JavaScript coding within Latenode.