How to connect Google Cloud BigQuery and Zoom
Create a New Scenario to Connect Google Cloud BigQuery and Zoom
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 Zoom will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Zoom, 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 Zoom Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Zoom from the list of available apps, and choose the action you need from the list of nodes within Zoom.

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Zoom, 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 Zoom integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Zoom (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 Zoom
Zoom + Google Sheets + Slack: When a Zoom meeting ends, record the meeting details in a Google Sheet. Then, send a summary of the meeting details to a specified Slack channel.
Zoom + Google Sheets + Google Sheets: When a Zoom recording is completed, extract details like start time, end time, and file size, then add them as a new row to a designated Google Sheet for tracking and analysis. Finally, update a different cell in the same Google Sheet.
Google Cloud BigQuery and Zoom 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 Zoom
Automate Zoom meeting tasks in Latenode. Trigger actions based on meeting events (start, end, participant join), send notifications, or log data. Combine Zoom with other apps; for example, automatically create follow-up tasks or update databases based on call outcomes. The visual editor and flexible logic blocks simplify complex workflows, without code.
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See how Latenode works
FAQ Google Cloud BigQuery and Zoom
How can I connect my Google Cloud BigQuery account to Zoom using Latenode?
To connect your Google Cloud BigQuery account to Zoom 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 Zoom accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Zoom meeting data in Google Cloud BigQuery automatically?
Yes, you can! Latenode enables seamless data transfer and analysis, giving valuable insights using BigQuery's power on your Zoom meeting metrics—without coding. Perfect for data-driven decisions.
What types of tasks can I perform by integrating Google Cloud BigQuery with Zoom?
Integrating Google Cloud BigQuery with Zoom allows you to perform various tasks, including:
- Automatically storing Zoom meeting details into Google Cloud BigQuery.
- Generating reports on attendee engagement metrics using BigQuery.
- Updating BigQuery datasets with Zoom webinar registration information.
- Triggering Zoom webinars based on data changes in Google Cloud BigQuery.
- Analyzing survey responses collected during Zoom meetings in BigQuery.
Howsecureisdata transferredbetweenGoogleCloudBigQueryandZoomonLatenode?
Latenode uses secure connections and encryption to protect your data during transfer. Access permissions can also be configured for data privacy.
Are there any limitations to the Google Cloud BigQuery and Zoom integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Cloud BigQuery's API rate limits.
- Real-time data synchronization depends on the Zoom API's update frequency.
- Complex data transformations might require custom JavaScript code.