How to connect Google Cloud BigQuery (REST) and Demio
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Demio
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 Demio will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Demio, 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.

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

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Authenticate Demio
Now, click the Demio node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Demio settings. Authentication allows you to use Demio through Latenode.
Configure the Google Cloud BigQuery (REST) and Demio 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 Demio 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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AI Anthropic Claude 3
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Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Demio, 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 Demio integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Demio (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 Demio
Demio + Google Cloud BigQuery (REST) + Slack: When a Demio webinar is updated, a query is run in Google Cloud BigQuery to analyze attendance data. If attendance is below a certain threshold, a message is sent to a designated Slack channel to alert the marketing team.
Demio + Google Cloud BigQuery (REST) + HubSpot: When someone joins a Demio webinar, their information is saved to Google Cloud BigQuery using the Insert Rows action. This data is then used to find an existing contact or create a new contact in HubSpot.
Google Cloud BigQuery (REST) and Demio 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 Demio
Automate Demio webinar tasks with Latenode. Connect event data (registrations, attendance) to your CRM, email marketing, or analytics tools. Trigger follow-ups or update databases automatically. Using Latenode means simpler event-driven flows and richer lead insights without manual data handling. Scale your event marketing and save time.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Demio
How can I connect my Google Cloud BigQuery (REST) account to Demio using Latenode?
To connect your Google Cloud BigQuery (REST) account to Demio 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 Demio accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Demio webinar data in Google Cloud BigQuery (REST)?
Yes, you can! Latenode enables seamless data transfer. Analyze webinar attendance, engagement metrics, and more, directly within Google Cloud BigQuery (REST) for data-driven decisions.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Demio?
Integrating Google Cloud BigQuery (REST) with Demio allows you to perform various tasks, including:
- Automatically log Demio event attendance data to Google Cloud BigQuery (REST).
- Enrich user profiles in Google Cloud BigQuery (REST) with Demio webinar engagement scores.
- Trigger personalized email campaigns based on webinar activity via other apps.
- Create custom reports combining webinar data with other business metrics.
- Analyze trends in webinar sign-ups and attendance using Google Cloud BigQuery (REST) analytics.
How secure is my Google Cloud BigQuery (REST) data in Latenode?
Latenode employs robust security measures, including encryption and secure authentication, to protect your data during Google Cloud BigQuery (REST) and Demio integrations.
Are there any limitations to the Google Cloud BigQuery (REST) and Demio integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data transfer may take time depending on the data volume.
- Complex queries may require some familiarity with Google Cloud BigQuery (REST) syntax.
- Real-time data synchronization depends on API rate limits of both services.