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

Google Cloud BigQuery
âš™
Avaza
Authenticate Avaza
Now, click the Avaza node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Avaza settings. Authentication allows you to use Avaza through Latenode.
Configure the Google Cloud BigQuery and Avaza 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 Avaza 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.

JavaScript
âš™
AI Anthropic Claude 3
âš™
Avaza
Trigger on Webhook
âš™
Google Cloud BigQuery
âš™
âš™
Iterator
âš™
Webhook response
Save and Activate the Scenario
After configuring Google Cloud BigQuery, Avaza, 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 Avaza integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Avaza (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 Avaza
Avaza + Google Sheets + Slack: When a new event occurs in Avaza, project data is exported to Google Sheets for analysis. Then, a Slack message is sent to a designated channel to notify the team about the updated data.
Google Sheets + Avaza + Slack: When a new row is added to a Google Sheet, project details are used to create a new project in Avaza. A Slack message is then sent to notify project managers of the new project creation.
Google Cloud BigQuery and Avaza 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.
Similar apps
Related categories
About Avaza
Automate project management with Avaza in Latenode. Create flows that sync tasks, track time, and manage expenses automatically. Use Latenode's visual editor to tailor Avaza workflows and connect them to other apps. Streamline reporting and billing cycles with no-code logic and custom scripts for efficient project oversight.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Avaza
How can I connect my Google Cloud BigQuery account to Avaza using Latenode?
To connect your Google Cloud BigQuery account to Avaza 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 Avaza accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate report generation based on Avaza data?
Yes, you can! Latenode allows scheduled automated reports. Extract Avaza data, transform it using BigQuery, and generate custom insights—all without manual effort.
What types of tasks can I perform by integrating Google Cloud BigQuery with Avaza?
Integrating Google Cloud BigQuery with Avaza allows you to perform various tasks, including:
- Consolidate Avaza project data into a central BigQuery data warehouse.
- Analyze project profitability using advanced BigQuery SQL queries.
- Create custom dashboards visualizing Avaza and other data sources.
- Automatically update BigQuery tables with new Avaza timesheet entries.
- Trigger alerts based on project budget overruns identified in BigQuery.
How secure is data transfer between BigQuery and Avaza in Latenode?
Latenode uses secure connections and encryption for data transfer. Control access and permissions to sensitive data flowing through your workflows.
Are there any limitations to the Google Cloud BigQuery and Avaza 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 require knowledge of SQL or JavaScript.
- API rate limits on Avaza and BigQuery may affect high-volume workflows.