Google Cloud BigQuery and Delighted Integration

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Analyze Delighted survey responses in Google Cloud BigQuery for deeper insights. Latenode’s visual editor makes it easier to automate this process and customize data transformations with JavaScript. Scale insights affordably with execution-based pricing.

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Google Cloud BigQuery

Delighted

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Delighted

Create a New Scenario to Connect Google Cloud BigQuery and Delighted

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

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

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Authenticate Delighted

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

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

Delighted + Slack: When a new response is received in Delighted, the details of the response are sent as a direct message in Slack to a designated team member for review.

Delighted + Google Sheets: When a new response is received in Delighted, the response details are added as a new row in a Google Sheet for tracking and analysis.

Google Cloud BigQuery and Delighted 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 Delighted

Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.

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FAQ Google Cloud BigQuery and Delighted

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

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

Can I trigger surveys based on BigQuery data?

Yes, you can! Latenode allows you to trigger Delighted surveys based on data changes in Google Cloud BigQuery, automating feedback collection and improving customer insights.

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

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

  • Automatically trigger Delighted surveys based on customer segments in BigQuery.
  • Enrich survey responses in Delighted with detailed customer data from BigQuery.
  • Analyze survey results in BigQuery alongside other business metrics.
  • Update customer profiles in BigQuery based on survey feedback received via Delighted.
  • Send personalized follow-up surveys based on BigQuery data and initial Delighted responses.

Can Latenode handle large Google Cloud BigQuery datasets effectively?

Yes, Latenode is designed to efficiently handle large datasets from Google Cloud BigQuery, allowing for scalable data-driven workflows.

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

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

  • Initial data mapping between the two services requires careful configuration.
  • Complex BigQuery queries might require optimization for real-time triggering.
  • Rate limits of the Delighted API can affect large-scale survey deployments.

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