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

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Authenticate Open Weather
Now, click the Open Weather node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Open Weather settings. Authentication allows you to use Open Weather through Latenode.
Configure the Google Cloud BigQuery and Open Weather 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 Open Weather 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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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Open Weather, 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 Open Weather integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Open Weather (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 Open Weather
Open Weather + Google Cloud BigQuery + Google Sheets: Get the current weather conditions using Open Weather. Analyze the impact of these conditions on sales data stored in Google Cloud BigQuery. Finally, store the insights derived from this analysis into a Google Sheet.
Open Weather + Google Cloud BigQuery + Slack: Checks current weather and compares it to BigQuery sales data. If the weather affects sales trends, the sales team will get an alert on Slack.
Google Cloud BigQuery and Open Weather 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 Open Weather
Use Open Weather in Latenode to automate weather-based triggers for business logic. Get current conditions or forecasts to adjust marketing campaigns, logistics, or facility management. Unlike standalone apps, Latenode lets you blend weather data with other services, apply custom logic, and scale your automation affordably based on execution time.
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See how Latenode works
FAQ Google Cloud BigQuery and Open Weather
How can I connect my Google Cloud BigQuery account to Open Weather using Latenode?
To connect your Google Cloud BigQuery account to Open Weather 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 Open Weather accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze weather patterns to optimize BigQuery data insights?
Yes, easily! Latenode's visual editor makes combining weather data with your BigQuery datasets simple. Enhance your analytics with real-time weather context for better decisions.
What types of tasks can I perform by integrating Google Cloud BigQuery with Open Weather?
Integrating Google Cloud BigQuery with Open Weather allows you to perform various tasks, including:
- Store historical weather data alongside sales trends.
- Trigger alerts in BigQuery based on weather conditions.
- Enrich marketing data with local weather information.
- Visualize weather impact on business metrics.
- Schedule automated data backups triggered by severe weather.
How secure is the data transfer between Google Cloud BigQuery and Latenode?
Latenode employs robust encryption and security protocols, ensuring that your data is protected during transfer and storage, maintaining data integrity.
Are there any limitations to the Google Cloud BigQuery and Open Weather integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- API call limits of Open Weather may affect high-volume data retrieval.
- Complex BigQuery queries might require optimized workflow design.
- Historical weather data availability depends on the Open Weather plan.