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

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.
Add the Demio Node
Next, click the plus (+) icon on the Google Cloud BigQuery 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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Demio

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 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 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.

JavaScript
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AI Anthropic Claude 3
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Demio
Trigger on Webhook
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Google Cloud BigQuery
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, 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 and Demio integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery 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 and Demio
Demio + Google Sheets + Slack: When a Demio webinar is updated, the event details are exported to a Google Sheet. A summary report based on the updated data is then sent to a designated Slack channel.
Demio + Google Sheets + Google Sheets: When a Demio webinar is updated, the attendee information is exported to a Google Sheet. This data is then analyzed, and summary reports are created in a separate Google Sheet.
Google Cloud BigQuery and Demio 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.
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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 and Demio
How can I connect my Google Cloud BigQuery account to Demio using Latenode?
To connect your Google Cloud BigQuery account to Demio 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 Demio accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate webinar data analysis using Google Cloud BigQuery and Demio integration?
Yes, you can! Latenode allows automated data transfers for enhanced reporting. Analyze Demio webinar data in Google Cloud BigQuery for insights and informed decision-making.
What types of tasks can I perform by integrating Google Cloud BigQuery with Demio?
Integrating Google Cloud BigQuery with Demio allows you to perform various tasks, including:
- Sync Demio registration data to Google Cloud BigQuery for analysis.
- Automate custom report generation based on webinar performance metrics.
- Enrich Demio lead data with insights from Google Cloud BigQuery datasets.
- Trigger personalized follow-up sequences in Demio based on BigQuery analysis.
- Monitor webinar ROI by combining cost data in BigQuery with Demio conversions.
How do I transform data before loading it into Google Cloud BigQuery?
Latenode provides built-in data transformation tools, JavaScript blocks and AI steps to prepare your Demio data before loading it into Google Cloud BigQuery.
Are there any limitations to the Google Cloud BigQuery and Demio integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time data synchronization depends on the Demio API rate limits.
- Complex data transformations may require JavaScript coding.
- Historical data migration might require manual setup or custom scripts.