IntegrationsDatabricksGumlet
Databricks + Gumlet

Connect Databricks and Gumlet to Build Intelligent Automations

Choose a Trigger

Databricks

When this happens...

Choose an Action

Gumlet

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Video Uploaded

New Video Uploaded

Triggers when a new video is uploaded

Playlist Assets Created

Playlist Assets Created

Trigger when new playlist assets created.

Collections Created

Collections Created

Trigger when new Collections created.

Request a new Trigger for Databricks

Do thisActions

Action is the task that follows automatically within your Databricks integrations.

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

Upload video

Upload video

Upload a video to your gumlet account.

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Frequently Asked Questions

How do I start an integration between Databricks and Gumlet?

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

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

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

How often does the data sync between Databricks and Gumlet?

The data sync between Databricks and Gumlet 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 Gumlet?

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 Gumlet?

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

About Gumlet

Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.

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