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

Add the Cloze Node
Select the Cloze node from the app selection panel on the right.

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

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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Cloze and Google Cloud BigQuery (REST) 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 Cloze and Google Cloud BigQuery (REST) 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Cloze, Google Cloud BigQuery (REST), 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 Cloze and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Cloze and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Cloze and Google Cloud BigQuery (REST)
Cloze + Google Cloud BigQuery (REST) + Google Sheets: Analyze Cloze contact data by inserting it into BigQuery, then create a summary table and visualize insights in Google Sheets.
Google Cloud BigQuery (REST) + Cloze + Slack: When a new row is added to a BigQuery table, check if the value in a specific column exceeds a predefined threshold. If an anomaly is detected, create a note in Cloze and notify the sales team via Slack.
Cloze and Google Cloud BigQuery (REST) integration alternatives
About Cloze
Use Cloze in Latenode to automate your CRM and sales processes. Automatically update records, trigger follow-ups, and generate reports based on real-time data. Integrate Cloze with other apps like email, calendars, and databases using Latenode's visual editor. Customize flows with JavaScript or AI for advanced lead qualification and faster deal closing.
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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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See how Latenode works
FAQ Cloze and Google Cloud BigQuery (REST)
How can I connect my Cloze account to Google Cloud BigQuery (REST) using Latenode?
To connect your Cloze account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Cloze and click on "Connect".
- Authenticate your Cloze and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Cloze sales data in BigQuery?
Yes, with Latenode you can automatically export Cloze data to BigQuery for advanced analysis. Latenode handles complex data transformations, letting you focus on insights, not coding.
What types of tasks can I perform by integrating Cloze with Google Cloud BigQuery (REST)?
Integrating Cloze with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Automatically backing up Cloze data to Google Cloud BigQuery (REST) for security.
- Creating custom sales reports using Cloze data in Google Cloud BigQuery (REST).
- Analyzing sales trends by combining Cloze data with other data sources.
- Tracking customer interactions from Cloze within a data warehouse.
- Building dashboards to visualize Cloze performance metrics in real-time.
Can I use JavaScript to transform data between Cloze and BigQuery?
Yes, Latenode's JavaScript blocks allow custom data transformations, ensuring data compatibility between Cloze and BigQuery.
Are there any limitations to the Cloze and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time, depending on the data volume.
- Real-time data synchronization depends on the Cloze API rate limits.
- Complex data transformations might require JavaScript coding in Latenode.