
When this happens...
New Document

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new document is created / upserted.
Action is the task that follows automatically within your Dust integrations.
Send a message to a Dust a gent and retrieve the answer.
Upload a document to a Dust Data Source / Folder.
Search for agent configurations by name in the workspace.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
This action deletes a job by ID.


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To start, connect both your Dust and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Dust triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Dust 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 Dust 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 Dust 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.
Dust.tt is a comprehensive workflow automation platform designed to seamlessly integrate and manage data across various sources. It provides robust tools for automating document workflows, data management, and API integrations, helping businesses streamline their operations. Whether it's cloud storage, document handling, or real-time data syncing, Dust.tt allows users to efficiently manage data sources and automate processes to boost productivity.
Learn MoreDatabricks 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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