Connect Teamwork and Databricks to Build Intelligent Automations

Choose a Trigger

Teamwork

When this happens...

Choose an Action

Databricks

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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 Teamwork integrations.

Create Company

Create Company

Creates a new company.

Create Project

Create Project

Creates a new project.

Create Person

Create Person

Creates a new person.

Create Task

Create Task

Creates a new task.

Create Task List

Create Task List

Creates a new task list.

Create Link Category

Create Link Category

Creates a new link category.

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Frequently Asked Questions

How do I start an integration between Teamwork and Databricks?

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

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

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

How often does the data sync between Teamwork and Databricks?

The data sync between Teamwork and Databricks 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 Teamwork to Databricks?

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 Teamwork and Databricks?

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

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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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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