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

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Jibble

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

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Jibble, 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 Jibble integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Jibble (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 Jibble
Jibble + Google Cloud BigQuery (REST) + Google Sheets: When a new clock in or out event is recorded in Jibble, the data is sent to Google Cloud BigQuery. A query job analyzes the attendance data, and the results are then visualized in a Google Sheet for reporting purposes.
Jibble + Google Cloud BigQuery (REST) + Slack: When a new clock in or out event occurs in Jibble, the data is sent to Google Cloud BigQuery. A query job analyzes the data, checking for overtime. If overtime exceeds a specified limit, a message is sent to a designated Slack channel to notify managers.
Google Cloud BigQuery (REST) and Jibble 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 Jibble
Jibble streamlines time tracking. Connect it to Latenode to automate payroll, project costing, or attendance alerts. Send Jibble data to accounting software or HR platforms automatically. Use Latenode's visual editor to create custom rules and notifications based on employee time entries, eliminating manual data transfer and ensuring accurate records.
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FAQ Google Cloud BigQuery (REST) and Jibble
How can I connect my Google Cloud BigQuery (REST) account to Jibble using Latenode?
To connect your Google Cloud BigQuery (REST) account to Jibble 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 Jibble accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze employee time data in BigQuery?
Yes, you can! Latenode allows you to automate data transfer from Jibble to Google Cloud BigQuery (REST). Analyze employee data and build custom reports using BigQuery's capabilities.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Jibble?
Integrating Google Cloud BigQuery (REST) with Jibble allows you to perform various tasks, including:
- Automatically backing up Jibble's time and attendance data to BigQuery.
- Creating custom dashboards using Jibble data stored in BigQuery.
- Triggering alerts based on anomalies detected in Jibble data.
- Generating payroll reports using data from both Jibble and BigQuery.
- Analyzing employee attendance trends with BigQuery's analytics tools.
HowdoIsecurelystoreJibbledatainGoogleCloudBigQuery(REST)usingLatenode?
Latenode uses secure authentication methods. You can leverage BigQuery's security features for encrypted storage and access control of Jibble data.
Are there any limitations to the Google Cloud BigQuery (REST) and Jibble 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.
- Real-time data synchronization is subject to API rate limits.
- Complex data transformations may require custom JavaScript code.