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How to connect Basin and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Basin and Google Cloud BigQuery (REST)
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 Basin, triggered by another scenario, or executed manually (for testing purposes). In most cases, Basin or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Basin or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Basin Node
Select the Basin node from the app selection panel on the right.
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Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Basin node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Basin and Google Cloud BigQuery (REST) 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 Basin and Google Cloud BigQuery (REST) 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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Save and Activate the Scenario
After configuring Basin, Google Cloud BigQuery (REST), 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 Basin and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Basin and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Basin and Google Cloud BigQuery (REST)
Basin + Google Cloud BigQuery (REST) + Google Sheets: When a new submission is received in Basin, the data is inserted into a BigQuery table. Then, a summary of the data from BigQuery is added as a new row in a Google Sheet for reporting purposes.
Google Cloud BigQuery (REST) + Basin + Slack: When a new row is added to a BigQuery table, check if it matches specific criteria. If it does, send a notification to a Slack channel, including a link to a Basin form to collect user feedback related to the new data.
Basin and Google Cloud BigQuery (REST) integration alternatives
About Basin
Use Basin inside Latenode to capture form submissions without server-side code. Connect form data to any app via REST API or Webhooks, triggering automated workflows. Validate, transform, and route data with Latenode's visual editor, enhancing lead management and data collection, and avoiding back-end setup.
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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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See how Latenode works
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FAQ Basin and Google Cloud BigQuery (REST)
How can I connect my Basin account to Google Cloud BigQuery (REST) using Latenode?
To connect your Basin account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Basin and click on "Connect".
- Authenticate your Basin and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Basin form data in BigQuery?
Yes, you can! Latenode automates data transfer, enabling powerful analysis & reporting in BigQuery without manual exports. Leverage Latenode's no-code blocks or AI steps for complex transformations.
What types of tasks can I perform by integrating Basin with Google Cloud BigQuery (REST)?
Integrating Basin with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Automatically backing up Basin form submissions to BigQuery.
- Creating custom dashboards based on Basin data within BigQuery.
- Triggering alerts based on analysis of Basin data in BigQuery.
- Enriching Basin form data with external data sources in BigQuery.
- Performing sentiment analysis on form responses stored in BigQuery.
How secure is the Basin integration in Latenode?
Latenode uses secure authentication methods and encrypts data in transit, ensuring the safety and privacy of your Basin and BigQuery data.
Are there any limitations to the Basin and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the data volume.
- Complex data transformations might require custom JavaScript code.
- API rate limits from Basin and BigQuery may affect workflow execution.
