
When this happens...
New or Changed Collection
New or Updated Card
Attached or Detached Label on a Card
Attached or Detached Resource on a Card
New or Changed Comment
Card Deleted
Collection Deleted

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.
Triggers when a new collection is added or changed.
Triggers when a card is added or updated.
Triggers when a label is attached or detached from a card.
Triggers when a resource is attached or detached from a card.
Triggers when a new comment is added or changed.
Triggers when a card is deleted.
Action is the task that follows automatically within your vPlan integrations.
Create a new Activity.
Create a new resource.
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.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your vPlan and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in vPlan triggers actions in Databricks (or vice versa).
Absolutely. You can customize how vPlan 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 vPlan 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 vPlan 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.
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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