Connect TagMango and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Order Created
Course Progress Event
Course Completion
New Recurring Order Completed
Incomplete Order Created
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use TagMango and Databricks automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Order Created
Trigger when new order completed
Course Progress Event
Trigger when new progress started.
Course Completion
This event is triggered when a subscriber completes watching/consuming the entire course.
New Recurring Order Completed
Triggers when new recurring order is created.
Incomplete Order Created
Triggers when incomplete order created.
Do thisActions
Action is the task that follows automatically within your TagMango integrations.
Migrate User
The migrate user allows the arbitrary addition of customers to any mango. The behaviour of the API is the same as the add customer option on the customers page in the TagMango dashboard.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
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Frequently Asked Questions
To start, connect both your TagMango and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in TagMango triggers actions in Databricks (or vice versa).
Absolutely. You can customize how TagMango 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 TagMango 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 TagMango 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 TagMango
TagMango is a platform that empowers creators to monetize their content and engage with their audience through personalized experiences. It provides tools for creators to offer exclusive content, workshops, and more, enabling them to build a sustainable income stream.
Learn MoreAbout 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.
Learn More
