Connect Databricks and Backlog to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Databricks
Choose an Action
Automatically do this!
Get all Activities
Get Space Logo
Get Space Notification
Get Space Disk Usage
Get all Projects
Get all Notifications
List all Teams
Get Space Licence
Get List of Recently Viewed Issues
List all Groups
List all Documents
List all Issues
List all User
Enable Integrations or automations with these events of Databricks and Backlog
Enable Integrations or automations with these events of Databricks and Backlog
Actions
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
Get all Activities
Find all existing activities
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Frequently Asked Questions
To start, connect both your Databricks and Backlog accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Backlog (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Backlog. This includes choosing which data fields go into which fields of Backlog, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Backlog typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Databricks and Backlog. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
Learn MoreAbout Backlog
Backlog is a comprehensive project management and collaboration tool designed to help teams organize their work, track progress, and collaborate effectively. It offers features such as task management, bug tracking, version control, and Gantt charts to streamline project workflows.
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