Connect Dribbble and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
Fetch New Shots
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.
Fetch New Shots
Get Dribbble shots published within the specified recent time window.
Do thisActions
Action is the task that follows automatically within your Dribbble integrations.
Update Shot
Update a shot's title, description, tags, low-profile setting, or team using its shot ID.
Get Shot
Get details for a single shot by ID.
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.
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Frequently Asked Questions
To start, connect both your Dribbble and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Dribbble triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Dribbble 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 Dribbble 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 Dribbble 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 Dribbble
Discover and connect with designers worldwide, showcase creative work, and get inspired.
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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