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Sync Databricks analysis results to Confluence for collaborative documentation. Latenode's visual editor simplifies connecting these tools, adding custom JavaScript logic and scaling the automation affordably based on execution time.
Connect Confluence and Databricks in minutes with Latenode.
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Create a New Scenario to Connect Confluence and Databricks
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 Confluence, triggered by another scenario, or executed manually (for testing purposes). In most cases, Confluence or Databricks will be your first step. To do this, click "Choose an app," find Confluence or Databricks, and select the appropriate trigger to start the scenario.
Add the Confluence Node
Select the Confluence node from the app selection panel on the right.
Confluence
Configure the Confluence
Click on the Confluence node to configure it. You can modify the Confluence URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Databricks Node
Next, click the plus (+) icon on the Confluence node, select Databricks from the list of available apps, and choose the action you need from the list of nodes within Databricks.
Confluence
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Databricks
Authenticate Databricks
Now, click the Databricks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Databricks settings. Authentication allows you to use Databricks through Latenode.
Configure the Confluence and Databricks 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 Confluence and Databricks Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Databricks
Trigger on Webhook
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Confluence
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Confluence, Databricks, 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 Confluence and Databricks integration works as expected. Depending on your setup, data should flow between Confluence and Databricks (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Databricks + Confluence + Slack: When a Databricks job run is triggered, this automation monitors its status. Upon completion, it retrieves related documentation from Confluence using a search query and sends a message to a designated Slack channel with links to the documentation.
Databricks + Confluence + Jira: If a Databricks job fails, the automation searches Confluence for related documentation. It then creates a Jira issue, linking to the relevant documentation to facilitate debugging and resolution.
About Confluence
Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.
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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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How can I connect my Confluence account to Databricks using Latenode?
To connect your Confluence account to Databricks on Latenode, follow these steps:
Can I automatically update Confluence pages with Databricks analysis?
Yes, you can! Latenode enables automated updates, ensuring your Confluence documentation reflects the latest Databricks data insights. Enjoy real-time reporting and eliminate manual updates.
What types of tasks can I perform by integrating Confluence with Databricks?
Integrating Confluence with Databricks allows you to perform various tasks, including:
Can I trigger Databricks workflows from Confluence page updates?
Yes! Latenode allows triggering Databricks jobs from Confluence edits, making data workflows reactive and efficient. Integrate no-code blocks, JavaScript, and AI for advanced behavior.
Are there any limitations to the Confluence and Databricks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: