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

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Authenticate Tamtam
Now, click the Tamtam node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Tamtam settings. Authentication allows you to use Tamtam through Latenode.
Configure the Google Cloud BigQuery and Tamtam 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 Tamtam 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Tamtam, 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 Tamtam integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Tamtam (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 Tamtam
Google Cloud BigQuery + Tamtam + Google Sheets: Analyze data in Google Cloud BigQuery (outside Latenode's scope), then send summary reports to a Tamtam channel. Save key metrics from the Tamtam report in a Google Sheet for tracking.
Tamtam + Google Cloud BigQuery + Airtable: Capture user feedback in Tamtam. Use external tools to save that feedback into Google Cloud BigQuery. Summarize those BigQuery insights and store them in Airtable for further analysis and action.
Google Cloud BigQuery and Tamtam 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 Tamtam
Use Tamtam in Latenode to automate messaging tasks. Send alerts, notifications, or updates based on triggers from other apps. Build workflows to distribute information automatically. Tamtam integration in Latenode avoids manual message sending, saving time. Plus, customize messaging flows with JS or AI for targeted and personalized comms.
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FAQ Google Cloud BigQuery and Tamtam
How can I connect my Google Cloud BigQuery account to Tamtam using Latenode?
To connect your Google Cloud BigQuery account to Tamtam 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 Tamtam accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze BigQuery data and alert Tamtam users?
Yes, you can! Latenode's visual editor simplifies connecting BigQuery analysis to Tamtam alerts. Instantly notify users of critical data trends, all without coding.
What types of tasks can I perform by integrating Google Cloud BigQuery with Tamtam?
Integrating Google Cloud BigQuery with Tamtam allows you to perform various tasks, including:
- Send Tamtam alerts based on BigQuery data analysis results.
- Create summary reports in Tamtam from BigQuery datasets.
- Automatically share BigQuery insights with Tamtam channels.
- Trigger Tamtam messages when new data enters BigQuery.
- Update Tamtam contact lists based on BigQuery customer data.
Can I use JavaScript to transform data between BigQuery and Tamtam?
Yes! Latenode allows you to use JavaScript code blocks to customize and transform data, enabling advanced manipulations between BigQuery and Tamtam.
Are there any limitations to the Google Cloud BigQuery and Tamtam integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large BigQuery datasets may require optimized queries for timely processing.
- Tamtam's API rate limits may affect high-volume message sending.
- Complex data transformations might require JavaScript coding knowledge.