Google Cloud BigQuery and GoCanvas Integration

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Google Cloud BigQuery

GoCanvas

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and GoCanvas

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

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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.

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Add the GoCanvas Node

Next, click the plus (+) icon on the Google Cloud BigQuery 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.

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Configure the Google Cloud BigQuery 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.

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Set Up the Google Cloud BigQuery 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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Save and Activate the Scenario

After configuring Google Cloud BigQuery, 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 and GoCanvas integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery 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 and GoCanvas

GoCanvas + Google Cloud BigQuery + Google Sheets: When a new submission is received in GoCanvas, the data is sent to BigQuery for analysis. Key metrics are then extracted and visualized in Google Sheets to provide insights.

GoCanvas + Google Cloud BigQuery + Slack: When a new submission is received in GoCanvas, the data is sent to BigQuery. If the submission represents a failed inspection, a notification is sent to supervisors in Slack.

Google Cloud BigQuery and GoCanvas 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.

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 and GoCanvas

How can I connect my Google Cloud BigQuery account to GoCanvas using Latenode?

To connect your Google Cloud BigQuery account to GoCanvas 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 GoCanvas accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically back up GoCanvas data to Google Cloud BigQuery?

Yes, you can! Latenode allows scheduled backups of GoCanvas data to Google Cloud BigQuery, ensuring data safety and enabling in-depth analysis without manual exports.

What types of tasks can I perform by integrating Google Cloud BigQuery with GoCanvas?

Integrating Google Cloud BigQuery with GoCanvas allows you to perform various tasks, including:

  • Automating data warehousing of GoCanvas form submissions.
  • Triggering GoCanvas form pre-population from BigQuery datasets.
  • Analyzing GoCanvas data trends using BigQuery's analytics tools.
  • Creating custom reports from combined GoCanvas and BigQuery data.
  • Updating BigQuery tables with new data collected via GoCanvas.

HowsecureistheGoogleCloudBigQueryconnectiononLatenode?

Latenode employs industry-standard encryption and secure authentication protocols to ensure the safety and privacy of your Google Cloud BigQuery data during integration.

Are there any limitations to the Google Cloud BigQuery and GoCanvas integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex queries may require optimization for performance.
  • Large data transfers can be subject to Google Cloud BigQuery API limits.
  • Custom GoCanvas form structures may need adjustments for BigQuery compatibility.

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