Google Cloud BigQuery (REST) and Open Weather Integration

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Analyze Open Weather data in Google Cloud BigQuery (REST) for weather-related trends. Latenode's visual editor makes building the integration easy, plus it scales affordably using pay-per-execution pricing.

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Google Cloud BigQuery (REST)

Open Weather

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery (REST) and Open Weather

Create a New Scenario to Connect Google Cloud BigQuery (REST) 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 (REST), triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery (REST) or Open Weather will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Open Weather, 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.

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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.

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Run node once

Add the Open Weather Node

Next, click the plus (+) icon on the Google Cloud BigQuery (REST) 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.

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Configure the Google Cloud BigQuery (REST) 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.

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Set Up the Google Cloud BigQuery (REST) 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 (REST), 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 (REST) and Open Weather integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) 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 (REST) and Open Weather

Open Weather + Google Cloud BigQuery (REST) + Google Sheets: This automation retrieves current weather data from Open Weather, queries sales data from Google Cloud BigQuery (REST) based on the weather conditions, and logs the correlation between weather and sales data in Google Sheets.

Open Weather + Google Cloud BigQuery (REST) + Slack: When Open Weather reports severe weather conditions, this triggers a query to Google Cloud BigQuery (REST) to analyze potential impact on sales trends. If a significant impact is detected, a Slack message is sent to alert the team.

Google Cloud BigQuery (REST) and Open Weather 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.

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.

See how Latenode works

FAQ Google Cloud BigQuery (REST) and Open Weather

How can I connect my Google Cloud BigQuery (REST) account to Open Weather using Latenode?

To connect your Google Cloud BigQuery (REST) account to Open Weather 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 Open Weather accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I enrich weather data with historical trends?

Yes, you can! Latenode’s no-code interface makes it easy to combine Open Weather’s data with your historical data in Google Cloud BigQuery (REST) for advanced weather-based analysis and reporting.

What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Open Weather?

Integrating Google Cloud BigQuery (REST) with Open Weather allows you to perform various tasks, including:

  • Storing weather forecasts in Google Cloud BigQuery (REST) for trend analysis.
  • Triggering database updates based on real-time weather conditions.
  • Creating custom weather reports with historical data stored in BigQuery.
  • Analyzing the impact of weather on sales data stored in BigQuery.
  • Automating alerts based on specific weather events using BigQuery data.

How secure is my Google Cloud BigQuery (REST) data on Latenode?

Latenode uses secure authentication and encryption protocols to protect your Google Cloud BigQuery (REST) data during integration and workflow execution.

Are there any limitations to the Google Cloud BigQuery (REST) and Open Weather integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by the Open Weather API may affect the frequency of data retrieval.
  • Complex data transformations may require custom JavaScript code within Latenode.
  • Historical weather data availability within Open Weather may be limited.

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