How to connect Google Cloud BigQuery (REST) and Brilliant Directories
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Brilliant Directories
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Brilliant Directories will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Brilliant Directories, 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.

Google Cloud BigQuery (REST)
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.
Add the Brilliant Directories Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Brilliant Directories from the list of available apps, and choose the action you need from the list of nodes within Brilliant Directories.

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Brilliant Directories
Authenticate Brilliant Directories
Now, click the Brilliant Directories node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Brilliant Directories settings. Authentication allows you to use Brilliant Directories through Latenode.
Configure the Google Cloud BigQuery (REST) and Brilliant Directories 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 (REST) and Brilliant Directories 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 donβt 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), Brilliant Directories, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud BigQuery (REST) and Brilliant Directories integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Brilliant Directories (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 Brilliant Directories
Brilliant Directories + Google Cloud BigQuery (REST) + Google Sheets: When a new user signs up on Brilliant Directories, their data is sent to Google Cloud BigQuery for analysis. The results are then summarized and added to a Google Sheet for reporting.
Brilliant Directories + Google Cloud BigQuery (REST) + Slack: When a new user signs up on Brilliant Directories, their demographic data is analyzed in Google Cloud BigQuery. Then a notification is sent to a Slack channel to alert the team.
Google Cloud BigQuery (REST) and Brilliant Directories 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.
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About Brilliant Directories
Orchestrate Brilliant Directories data within Latenode to automate member management and content workflows. Sync directory listings with CRMs, trigger email sequences based on membership changes, or automate content moderation. Extend directory features with Latenode's AI tools and custom JavaScript actions.
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FAQ Google Cloud BigQuery (REST) and Brilliant Directories
How can I connect my Google Cloud BigQuery (REST) account to Brilliant Directories using Latenode?
To connect your Google Cloud BigQuery (REST) account to Brilliant Directories 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 Brilliant Directories accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze member data stored in BigQuery to personalize BD content?
Yes, you can. Latenode's data transformation tools and AI integration allow for advanced analysis and personalized content display based on BigQuery data, improving member engagement.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Brilliant Directories?
Integrating Google Cloud BigQuery (REST) with Brilliant Directories allows you to perform various tasks, including:
- Automatically backing up Brilliant Directories data to Google Cloud BigQuery.
- Analyzing membership trends to optimize Brilliant Directories pricing.
- Generating custom reports on member engagement metrics.
- Syncing user profiles between Google Cloud BigQuery and Brilliant Directories.
- Creating targeted marketing campaigns based on BigQuery data analysis.
Can Latenode handle large BigQuery datasets for Brilliant Directories automation?
Yes, Latenode excels at handling large datasets. Its architecture scales to process BigQuery data efficiently, powering complex automations reliably.
Are there any limitations to the Google Cloud BigQuery (REST) and Brilliant Directories integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization might require significant processing time.
- Complex data transformations might necessitate custom JavaScript code.
- API rate limits of Google Cloud BigQuery (REST) and Brilliant Directories apply.