Connect Gitbook and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New spaces
New Team
New Share Link
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Gitbook and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New spaces
Trigger when a new spaces is created.
New Team
Trigger when a new team is created.
New Share Link
Trigger when a new share link is created.
Do thisActions
Action is the task that follows automatically within your Gitbook integrations.
Create a site
Create a new site.
Create collection
Create a new collection.
Create an organization invite
Create an organization invite.
Create a space
Create a new in an organization space.
Get the list of organizations
Get the list of organizations for the currently authenticated user.
Get an organization by its ID
Get an organization by its ID.
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Frequently Asked Questions
To start, connect both your Gitbook and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Gitbook triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Gitbook 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 Gitbook 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 Gitbook 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 Gitbook
Gitbook is a modern documentation platform where teams can document everything from products to internal knowledge bases. It provides a collaborative environment for creating, editing, and sharing content, making it ideal for teams looking to streamline their documentation process.
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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