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

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Authenticate JobNimbus
Now, click the JobNimbus node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your JobNimbus settings. Authentication allows you to use JobNimbus through Latenode.
Configure the Google Cloud BigQuery and JobNimbus 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 JobNimbus 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 Google Cloud BigQuery, JobNimbus, 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 JobNimbus integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and JobNimbus (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 JobNimbus
JobNimbus + Google Sheets: When a Job is updated in JobNimbus, this automation retrieves specific contact details and writes them to a new row in Google Sheets. This allows for data analysis and visualization of key metrics within Google Sheets.
JobNimbus + Google Sheets + Slack: When a contact is updated in JobNimbus, their information is added to a Google Sheet. If a specified condition is met based on the Google Sheet data (representing a critical anomaly), a notification is sent to a Slack channel, alerting project managers.
Google Cloud BigQuery and JobNimbus 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 JobNimbus
Automate Instagram Business tasks within Latenode. Schedule posts, extract comments, and analyze metrics without manual effort. Integrate Instagram data with CRMs or spreadsheets. Latenode offers flexible logic and affordable scaling, so you can manage social media workflows alongside other business processes using AI tools or custom scripts.
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FAQ Google Cloud BigQuery and JobNimbus
How can I connect my Google Cloud BigQuery account to JobNimbus using Latenode?
To connect your Google Cloud BigQuery account to JobNimbus 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 JobNimbus accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze JobNimbus data in BigQuery?
Yes, you can! Latenode automates data transfer, letting you leverage BigQuery's analytics on JobNimbus data, revealing business insights without manual exports.
What types of tasks can I perform by integrating Google Cloud BigQuery with JobNimbus?
Integrating Google Cloud BigQuery with JobNimbus allows you to perform various tasks, including:
- Automatically backing up JobNimbus data to Google Cloud BigQuery for analysis.
- Creating custom reports in BigQuery using JobNimbus data.
- Syncing customer data between JobNimbus and BigQuery for unified insights.
- Triggering JobNimbus actions based on BigQuery data analysis.
- Enriching JobNimbus data with insights derived from BigQuery analysis.
Can I use JavaScript to transform data before loading it to BigQuery?
Yes! Latenode allows you to use JavaScript code blocks to transform JobNimbus data before it's loaded into Google Cloud BigQuery.
Are there any limitations to the Google Cloud BigQuery and JobNimbus integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on data volume.
- Complex data transformations might require advanced JavaScript knowledge.
- API rate limits of Google Cloud BigQuery and JobNimbus may affect large-scale workflows.