Connect Rebrandly and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Branded Link
New Click
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Branded Link
Trigger when create a new branded link.
New Click
Triggers when the Branded Link receives a new click.
Do thisActions
Action is the task that follows automatically within your Rebrandly integrations.
Create Branded Link
create a short branded link from any url.
Update Branded Link
update the destination url of branded link
Create New Tag
Creates a new tag in Rebrandly.
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.
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Frequently Asked Questions
To start, connect both your Rebrandly and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Rebrandly triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Rebrandly 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 Rebrandly 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 Rebrandly 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 Rebrandly
Rebrandly is the easiest way to create and share branded links (short URLs using your own domain name).
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.
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