
When this happens...
New Task Is Created
Task Is Moved

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
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When this happensTriggers
A trigger is an event that starts a workflow.
Runs when New Task Is Created
Runs when Task Is Moved between columns or swimlanes
Action is the task that follows automatically within your KanbanFlow integrations.
Create a task in a column or swimlane
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
This action deletes a job by ID.
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete a Repo

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To start, connect both your KanbanFlow and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in KanbanFlow triggers actions in Databricks (or vice versa).
Absolutely. You can customize how KanbanFlow data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between KanbanFlow and Databricks 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 KanbanFlow and Databricks. 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.
KanbanFlow is a Lean project management tool for you and your team. Its intuitive user interface will get you up and running in a few minutes. It has a built-in task timer with support for the Pomodoro technique.
Learn MoreDatabricks 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.
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