Connect Databricks and Teamwork to Build Intelligent Automations

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Databricks

When this happens...

Choose an Action

Teamwork

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Task

New Task

Triggered when you add a new task.

New Comment

New Comment

Triggered when you add a new comment.

New Company

New Company

Triggered when you add a new company.

New Expense

New Expense

Triggered when you add a new expense.

New File

New File

Triggered when you add a new file.

New Invoice

New Invoice

Triggered when you add a new invoice.

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

Create Company

Create Company

Creates a new company.

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Frequently Asked Questions

How do I start an integration between Databricks and Teamwork?

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

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

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

How often does the data sync between Databricks and Teamwork?

The data sync between Databricks and Teamwork 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 Teamwork?

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 Teamwork?

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

About Teamwork

Teamwork is a comprehensive project management and team collaboration platform designed to help businesses streamline their workflows, manage tasks, and enhance productivity. It offers a suite of tools for project planning, time tracking, and communication, making it ideal for teams looking to improve efficiency and collaboration.

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