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

Add the GoCanvas Node
Select the GoCanvas node from the app selection panel on the right.

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

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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the GoCanvas and Google Cloud BigQuery (REST) 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 GoCanvas and Google Cloud BigQuery (REST) 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 GoCanvas, Google Cloud BigQuery (REST), 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 GoCanvas and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between GoCanvas and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect GoCanvas and Google Cloud BigQuery (REST)
GoCanvas + Google Cloud BigQuery (REST) + Google Sheets: When a new submission is made in GoCanvas, the data is inserted into a Google Cloud BigQuery table. Then, a query is run to analyze the data, and the summarized results are added as a new row in a Google Sheet.
GoCanvas + Google Cloud BigQuery (REST) + Slack: When a new submission is made in GoCanvas, the data is inserted into a Google Cloud BigQuery table. A query is then run to detect anomalies in the data. If anomalies are found, a message is sent to a specific Slack channel to alert the team.
GoCanvas and Google Cloud BigQuery (REST) integration alternatives
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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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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FAQ GoCanvas and Google Cloud BigQuery (REST)
How can I connect my GoCanvas account to Google Cloud BigQuery (REST) using Latenode?
To connect your GoCanvas account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select GoCanvas and click on "Connect".
- Authenticate your GoCanvas and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive GoCanvas submissions in BigQuery automatically?
Yes, you can! With Latenode, automate data backups from GoCanvas to BigQuery. Benefit from reliable, scalable storage while ensuring data integrity with audit trails, no coding needed.
What types of tasks can I perform by integrating GoCanvas with Google Cloud BigQuery (REST)?
Integrating GoCanvas with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Automatically back up GoCanvas submission data to BigQuery.
- Analyze GoCanvas data in BigQuery for business intelligence.
- Create reports on GoCanvas data using BigQuery's analytics tools.
- Schedule regular data exports from GoCanvas to BigQuery.
- Transform GoCanvas data before loading it into BigQuery.
WhatGoCanvasdatatypesaresupportedwhenintegratingwithGoogleCloudBigQuery(REST)?
Latenode supports all GoCanvas data types for BigQuery, offering flexible data mapping and custom transformations via JavaScript steps for seamless integration.
Are there any limitations to the GoCanvas and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data transfer may take time depending on the volume.
- BigQuery costs depend on data storage and query complexity.
- Custom data transformations might require JavaScript knowledge.