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

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Authenticate Awork
Now, click the Awork node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Awork settings. Authentication allows you to use Awork through Latenode.
Configure the Google Cloud BigQuery and Awork 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 Awork 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, Awork, 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 Awork integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Awork (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 Awork
Awork + Google Cloud BigQuery + Slack: When a task is updated in Awork, the information is sent to Google Cloud BigQuery for analysis. If the task is overdue, a notification is sent to the project manager in Slack.
Awork + Google Cloud BigQuery + Google Sheets: Track project progress in Awork. When a time entry is updated, the data is sent to BigQuery for analysis and key metrics are visualized in Google Sheets.
Google Cloud BigQuery and Awork 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 Awork
Manage Awork tasks in Latenode to automate project updates and reporting. Trigger flows on new tasks, sync deadlines across tools, or create custom reports. Use Latenode's logic functions and webhooks to connect Awork to any system, crafting automated workflows without complex coding, and scale project management tasks efficiently.
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FAQ Google Cloud BigQuery and Awork
How can I connect my Google Cloud BigQuery account to Awork using Latenode?
To connect your Google Cloud BigQuery account to Awork 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 Awork accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate project budget tracking using Google Cloud BigQuery data in Awork?
Yes, you can! Latenode's visual editor makes it easy to pull budget data from Google Cloud BigQuery and update project statuses in Awork, ensuring accurate financial oversight.
What types of tasks can I perform by integrating Google Cloud BigQuery with Awork?
Integrating Google Cloud BigQuery with Awork allows you to perform various tasks, including:
- Automatically creating Awork tasks from new Google Cloud BigQuery data entries.
- Updating Awork project statuses based on Google Cloud BigQuery query results.
- Generating reports in Google Cloud BigQuery using Awork task completion data.
- Triggering Awork notifications based on anomalies detected in Google Cloud BigQuery.
- Synchronizing project timelines between Google Cloud BigQuery and Awork.
Howsecureisdata transferbetweenGoogleCloudBigQueryandAworkonLatenode?
Latenode uses secure OAuth connections and encrypts data in transit, ensuring a safe transfer of information between Google Cloud BigQuery and Awork.
Are there any limitations to the Google Cloud BigQuery and Awork 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 Google Cloud BigQuery queries might require optimized configuration.
- Awork API rate limits may affect the frequency of data updates.