IntegrationsDatabricksUniverse
Databricks + Universe

Connect Databricks and Universe to Build Intelligent Automations

Choose a Trigger

Databricks

When this happens...

Choose an Action

Universe

Automatically do this!

Enable Integrations or automations with these events of Databricks and Universe

Enable Integrations or automations with these events of Databricks and Universe

Actions

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

List All Guestlist

List All Guestlist

Retrieves the details of all guestlist

Request a new Action for Databricks

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Frequently Asked Questions

How do I start an integration between Databricks and Universe?

To start, connect both your Databricks and Universe accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Universe (or vice versa).

Can we customize how data from Databricks is recorded in Universe?

Absolutely. You can customize how Databricks data is recorded in Universe. This includes choosing which data fields go into which fields of Universe, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Databricks and Universe?

The data sync between Databricks and Universe typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Databricks to Universe?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Databricks and Universe?

Yes, you can set conditional logic to control the flow of data between Databricks and Universe. 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

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.

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Universe

About Universe

Universe is a DIY ticketing platform that provides everything event organizers need to sell tickets and manage small and medium-sized events.

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