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

Google Cloud BigQuery
⚙

Beamer

Authenticate Beamer
Now, click the Beamer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Beamer settings. Authentication allows you to use Beamer through Latenode.
Configure the Google Cloud BigQuery and Beamer 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 Beamer 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
⚙
AI Anthropic Claude 3
⚙

Beamer
Trigger on Webhook
⚙
Google Cloud BigQuery
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Beamer, 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 Beamer integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Beamer (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 Beamer
Beamer + Google Sheets + Slack: When a new post is created in Beamer, log the post details into a Google Sheet and notify the team in Slack about the new announcement.
Beamer + Google Sheets + Google Sheets: When a new post is created in Beamer, log the data into BigQuery via Google Sheets and summarize it in another Google Sheets.
Google Cloud BigQuery and Beamer 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 Beamer
Use Beamer in Latenode to automate product update notifications based on user behavior. Trigger targeted announcements directly within your workflows. Combine Beamer with Latenode's data transformation and scheduling tools for more precise and automated communication. Scale your outreach without complex coding.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Beamer
How can I connect my Google Cloud BigQuery account to Beamer using Latenode?
To connect your Google Cloud BigQuery account to Beamer 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 Beamer accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically announce data insights in Beamer?
Yes, you can! Latenode allows you to trigger Beamer announcements based on new Google Cloud BigQuery data, keeping users informed about key trends automatically.
What types of tasks can I perform by integrating Google Cloud BigQuery with Beamer?
Integrating Google Cloud BigQuery with Beamer allows you to perform various tasks, including:
- Announcing new product usage insights via Beamer updates.
- Sharing key performance indicators (KPIs) in Beamer announcements.
- Posting automated reports based on BigQuery data.
- Notifying users about significant data changes instantly.
- Creating custom Beamer roadmaps based on data analysis.
How secure is my Google Cloud BigQuery data within Latenode?
Latenode employs robust security measures, including encryption and access controls, ensuring your Google Cloud BigQuery data is protected.
Are there any limitations to the Google Cloud BigQuery and Beamer integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex queries in Google Cloud BigQuery may require optimization.
- Beamer's API has rate limits that can affect high-volume updates.
- Initial setup requires appropriate Google Cloud BigQuery permissions.