Google Cloud BigQuery and Basin Integration

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Automate data-driven decisions by connecting Google Cloud BigQuery to Basin, scaling complex data workflows affordably on Latenode's execution-based pricing. Use JavaScript nodes to build custom logic and transform data between Google Cloud BigQuery and Basin's API.

Swap Apps

Google Cloud BigQuery

Basin

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Basin

Create a New Scenario to Connect Google Cloud BigQuery and Basin

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 Basin will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Basin, 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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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.

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Run node once

Add the Basin Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select Basin from the list of available apps, and choose the action you need from the list of nodes within Basin.

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Authenticate Basin

Now, click the Basin node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Basin settings. Authentication allows you to use Basin through Latenode.

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Configure the Google Cloud BigQuery and Basin 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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Run node once

Set Up the Google Cloud BigQuery and Basin 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, Basin, 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 Basin integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Basin (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 Basin

Basin + Google Sheets + Slack: When a new submission is received in Basin, the data is added as a new row in Google Sheets. A summary of the submission is then sent to a designated Slack channel.

Basin + Google Sheets + Google Sheets: Upon receiving a new form submission in Basin, the data is captured and added to a Google Sheet. A different Google Sheet is updated with summary statistics of this data.

Google Cloud BigQuery and Basin 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 Basin

Use Basin inside Latenode to capture form submissions without server-side code. Connect form data to any app via REST API or Webhooks, triggering automated workflows. Validate, transform, and route data with Latenode's visual editor, enhancing lead management and data collection, and avoiding back-end setup.

See how Latenode works

FAQ Google Cloud BigQuery and Basin

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

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

Can I automatically update Basin forms with BigQuery data?

Yes, you can! Latenode allows seamless data transfer between Google Cloud BigQuery and Basin, keeping forms updated. Automate database triggers via no-code or custom JavaScript for real-time data sync.

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

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

  • Analyze form submission data stored in Google Cloud BigQuery.
  • Automatically populate Basin forms with data from BigQuery datasets.
  • Trigger alerts in Basin based on analysis of data in Google Cloud BigQuery.
  • Create reports in BigQuery based on Basin form submissions.
  • Synchronize data between BigQuery tables and Basin form fields.

How secure is my Google Cloud BigQuery data when using Latenode?

Latenode employs robust security measures, including encryption and access controls, to ensure the safety and privacy of your Google Cloud BigQuery data.

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

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

  • Initial data synchronization may take time depending on dataset size.
  • Complex data transformations may require custom JavaScript code.
  • Real-time updates are subject to API rate limits of both services.

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