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Orchestrate data-driven insights from Databricks into actionable campaigns in Basin. Latenode's visual editor and affordable pricing simplify complex pipelines, letting teams build scalable automations with custom logic and JavaScript support.
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In the workspace, click the βCreate New Scenarioβ button.

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 Databricks, triggered by another scenario, or executed manually (for testing purposes). In most cases, Databricks or Basin will be your first step. To do this, click "Choose an app," find Databricks or Basin, and select the appropriate trigger to start the scenario.

Select the Databricks node from the app selection panel on the right.

Databricks
Click on the Databricks node to configure it. You can modify the Databricks URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Databricks node, select Basin from the list of available apps, and choose the action you need from the list of nodes within Basin.

Databricks
β
Basin
Now, click the Basin node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Basin settings. Authentication allows you to use Basin through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
β
Basin
Trigger on Webhook
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Databricks
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β
Iterator
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Webhook response
After configuring Databricks, Basin, 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Databricks and Basin integration works as expected. Depending on your setup, data should flow between Databricks and Basin (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Databricks + Basin + Slack: When a Databricks job run completes, it can trigger a Basin form submission to indicate a need for action. Upon submission of this Basin form, a Slack message is sent to a designated channel, alerting the team to the situation.
Basin + Databricks + Google Sheets: When a new submission is received in Basin, it triggers a data processing job in Databricks. The results from Databricks are then saved to a Google Sheets spreadsheet.
About Databricks
Use Databricks inside Latenode to automate data processing pipelines. Trigger Databricks jobs based on events, then route insights directly into your workflows for reporting or actions. Streamline big data tasks with visual flows, custom JavaScript, and Latenode's scalable execution engine.
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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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How can I connect my Databricks account to Basin using Latenode?
To connect your Databricks account to Basin on Latenode, follow these steps:
Can I analyze Basin form submissions using Databricks?
Yes, you can! With Latenode, automatically send Basin form data to Databricks for advanced analytics. Gain deeper insights using Databricks' powerful processing capabilities with no code.
What types of tasks can I perform by integrating Databricks with Basin?
Integrating Databricks with Basin allows you to perform various tasks, including:
Can I automate data transformation before sending to Databricks?
Yes, Latenode allows you to transform Basin data using JavaScript or AI steps before it reaches Databricks. Clean and prepare your data for optimal analysis.
Are there any limitations to the Databricks and Basin integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: