
When this happens...
New DataSet Is Created
New Card Created
New Task Created
New Project Created

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when new DataSet is created
Runs when a new card is created in Domo.
Runs when a new task is created.
Runs when a new project is created.
Action is the task that follows automatically within your Domo integrations.
Create a new DataSet in Domo.
Creates a new list in a Domo project with a specified name and type, and an optional order.
Updates an existing list in Domo with a new name, type, or position.
Creates a new Domo group with the name you provide.
Create a project with a name, team members, visibility, description, and due date.
Update a project's name, description, due date, or public/private setting.

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To start, connect both your Domo and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Domo triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Domo 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.
The data sync between Domo and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Domo 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.
Domo is a cloud-based business intelligence platform that provides data visualization, analytics, and reporting tools to help organizations make data-driven decisions.
Learn MoreDatabricks 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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