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How to connect Google Cloud BigQuery (REST) and Delighted
Create a New Scenario to Connect Google Cloud BigQuery (REST) 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 (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Delighted will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Delighted, 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.
Add the Delighted Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) 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.
Configure the Google Cloud BigQuery (REST) 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.
Set Up the Google Cloud BigQuery (REST) 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 (REST), 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 (REST) and Delighted integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) 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 (REST) and Delighted
Delighted + Google Cloud BigQuery (REST) + Slack: When a new response is received in Delighted, the data is inserted into a BigQuery table. Then, a query is run to analyze the responses, and the key findings are sent to a Slack channel.
Delighted + Google Cloud BigQuery (REST) + Google Sheets: When a new response is received in Delighted, the data, including the NPS score, is saved to a BigQuery table. Finally, a summary of the data is then written to a Google Sheet.
Google Cloud BigQuery (REST) and Delighted 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.
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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 (REST) and Delighted
How can I connect my Google Cloud BigQuery (REST) account to Delighted using Latenode?
To connect your Google Cloud BigQuery (REST) account to Delighted 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 Delighted accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger surveys based on BigQuery data analysis?
Yes, with Latenode! Automatically trigger Delighted surveys based on real-time BigQuery analysis, ensuring timely feedback and improved data-driven decision-making. Scale effortlessly with our platform.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Delighted?
Integrating Google Cloud BigQuery (REST) with Delighted allows you to perform various tasks, including:
- Send targeted surveys based on BigQuery customer segmentation data.
- Analyze survey responses alongside your BigQuery data warehouse insights.
- Automatically update customer profiles in BigQuery with Delighted feedback.
- Trigger alerts in BigQuery based on negative Delighted survey responses.
- Create custom reports combining Delighted NPS scores with BigQuery metrics.
Can I use custom SQL queries to trigger actions in Delighted?
Yes! Latenode's flexibility allows custom SQL queries for Delighted triggers. Extract granular insights and automate personalized survey campaigns using your data.
Are there any limitations to the Google Cloud BigQuery (REST) and Delighted integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require optimization for performance.
- Survey delivery rates are subject to Delighted's API limits.
- Historical data migration may require additional configuration.
