Connect Databricks and Deputy to Build Intelligent Automations

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Databricks

When this happens...

Choose an Action

Deputy

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Employee

New Employee

Trigger when there is a new employee in created.

New Department

New Department

Trigger when a new department created.

New Location

New Location

Trigger when new location in 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

Get Company

Get Company

Get Company details

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Frequently Asked Questions

How do I start an integration between Databricks and Deputy?

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

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

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

How often does the data sync between Databricks and Deputy?

The data sync between Databricks and Deputy 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 Deputy?

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 Deputy?

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

About Deputy

Deputy is a comprehensive workforce management solution that simplifies scheduling, timesheets, tasking, and communication for businesses. It helps streamline operations and improve productivity by automating administrative tasks.

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