Google Cloud BigQuery (REST) and Basin Integration

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Analyze Basin form submissions in Google Cloud BigQuery (REST) using Latenode’s visual editor to gain deeper insights. Customize data transformations with JavaScript and scale affordably, paying only for execution time.

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Google Cloud BigQuery (REST)

Basin

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery (REST) and Basin

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

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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.

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Run node once

Add the Basin Node

Next, click the plus (+) icon on the Google Cloud BigQuery (REST) 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 (REST) 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 (REST) 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 (REST), 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 (REST) and Basin integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) 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 (REST) and Basin

Basin + Google Cloud BigQuery (REST) + Slack: When a new form is submitted in Basin, the data is inserted into a BigQuery table. If certain conditions are met based on the new data, a Slack message is sent to a designated channel to alert the team.

Basin + Google Cloud BigQuery (REST) + Google Sheets: Capture form responses via Basin, insert the submission data into a BigQuery table, and then insert that data as a new row into a Google Sheet for visualization and reporting.

Google Cloud BigQuery (REST) and Basin 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.

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 (REST) and Basin

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

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

Can I analyze Basin form submissions within BigQuery?

Yes, you can! Latenode's data transformation tools and direct integration allows seamless transfer of Basin data to Google Cloud BigQuery (REST) for detailed analysis and reporting.

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

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

  • Store Basin form data directly in a BigQuery dataset.
  • Trigger automated reports based on new form submissions.
  • Analyze submission trends using BigQuery's advanced features.
  • Update a CRM with insights derived from form data analysis.
  • Create real-time dashboards reflecting form completion rates.

How do I handle large datasets from Google Cloud BigQuery (REST)?

Latenode's architecture efficiently manages data volumes from Google Cloud BigQuery (REST), ensuring smooth workflow execution for large datasets.

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

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

  • Initial setup requires valid API credentials for both services.
  • Complex queries in Google Cloud BigQuery (REST) may require optimized workflows.
  • Rate limits of Google Cloud BigQuery (REST) and Basin apply.

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