Connect Docugami and Databricks to Build Intelligent Automations
Ready to use Docugami and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Create Project
Triggers when new projects are created within the selected time interval.
Create Docsets
Triggers when new docsets are created within the selected time interval.
Do thisActions
Action is the task that follows automatically within your Docugami integrations.
Create a docset
Create a docset in Docugami.
Create a project
Create a Project in Docugami.
Publish a project
Publish a project in Docugami.
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 Docugami and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Docugami triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Docugami 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 Docugami 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 Docugami 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 Docugami
Enhance your document engineering processes with Docugami's specialized AI tools designed to transform how your business creates and understands documents.
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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