Connect Zoho WorkDrive and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Folder
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Zoho WorkDrive and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Folder
Triggers when a new folder is created.
Do thisActions
Action is the task that follows automatically within your Zoho WorkDrive integrations.
Upload File
Uploads a file to a specified folder.
Create Folder
Creates a New Folder.
Find Folder
Find a folder by name.
Find File By Name
Find a specific file by its name.
Create Team Folder
Creates a new Team Folder.
Create Cluster
Creates a new Databricks cluster for processing tasks.
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Frequently Asked Questions
To start, connect both your Zoho WorkDrive and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho WorkDrive triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Zoho WorkDrive 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 Zoho WorkDrive 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 Zoho WorkDrive 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 Zoho WorkDrive
Zoho WorkDrive is a secure file management and collaboration platform designed for teams to store, share, and manage their files efficiently.
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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