Connect Databricks and frameio to Build Intelligent Automations

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Databricks

When this happens...

Choose an Action

frameio

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Enable Integrations or automations with these events of Databricks and frameio

Enable Integrations or automations with these events of Databricks and frameio

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

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Frequently Asked Questions

How do I start an integration between Databricks and frameio?

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

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

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

How often does the data sync between Databricks and frameio?

The data sync between Databricks and frameio 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 frameio?

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 frameio?

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

About frameio

Frame.io is a video review and collaboration platform. Share video projects with your team and clients for fast feedback and approval.

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