Connect Databricks and Returnless to Build Intelligent Automations

Choose a Trigger

Databricks

When this happens...

Choose an Action

Returnless

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Request Created

Request Created

Triggers when a new request has been created with your Returnless form.

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

Approve a Request

Approve a Request

Approve a request for a return

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Frequently Asked Questions

How do I start an integration between Databricks and Returnless?

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

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

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

How often does the data sync between Databricks and Returnless?

The data sync between Databricks and Returnless 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 Returnless?

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 Returnless?

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

About Returnless

Returnless is a platform designed to streamline and simplify the process of managing product returns for eCommerce businesses. It offers tools to automate return workflows, enhance customer experience, and reduce the operational costs associated with returns.

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