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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New User
Triggers when a new user is created.
User Activated
Triggers when a new user is activated.
User Deactivated
Triggers when a new user is deactivated.
Do thisActions
Action is the task that follows automatically within your Acadle integrations.
Create User
Action for Creates a User /invite
Get User List
Get User List
List Groups
Get User Profile
Get User Profile
Update User Status
Activate or deactivate a user in your Acadle account by Email
Create Group
Creates a new access group in the academy with name,status, reference ID.
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Frequently Asked Questions
To start, connect both your Acadle and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Acadle triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Acadle 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 Acadle 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 Acadle 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.
About Acadle
Acadle is an online learning management system (LMS) that allows organizations to create, manage, and deliver educational courses and training programs. It provides tools for course creation, user management, and progress tracking, making it ideal for businesses, educational institutions, and training providers.
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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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