Connect Pivotal Tracker and Databricks to Build Intelligent Automations
Ready to use Pivotal Tracker and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Activity
Triggers when any new activity happens within a project.
New Project
Trigger when a new Project is added.
New Story
Triggers when a new story is added in a project.
Do thisActions
Action is the task that follows automatically within your Pivotal Tracker integrations.
Create Project
creates a new project.
Find Project
Finds an existing project by exact name match. Optionally, create a project if none are found.
Create Story
creates a new story in a project
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.
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Frequently Asked Questions
To start, connect both your Pivotal Tracker and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Pivotal Tracker triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Pivotal Tracker 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 Pivotal Tracker 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 Pivotal Tracker 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.
About Pivotal Tracker
Pivotal Tracker is a powerful, agile project management tool designed to help software development teams plan, track, and collaborate on projects efficiently. It provides a shared view of team priorities, a process for collaboration, and real-time updates to keep everyone on the same page.
Learn MoreAbout 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.
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