
When this happens...

Automatically do this!
Create Collection
Update Collection
Delete collection
Update Guide
Delete Guide
Add Guide to collection
Remove Guide from Collection
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a guide is deleted.
Triggers when a guide is added to a collection.
Triggers when a guide is removed from the collection.
Action is the task that follows automatically within your Databricks integrations.
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
Create a new collection.

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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 Databricks and Dubble accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Dubble (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Dubble. This includes choosing which data fields go into which fields of Dubble, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Dubble 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 Dubble. 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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