Connect Databricks and Clio to Build Intelligent Automations

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Databricks

When this happens...

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Matter

New Matter

Triggers when a new matter is created

New Activity

New Activity

Triggers when a new activity is created

New Bill

New Bill

Triggers when a new bill is created

New Calender Entry

New Calender Entry

Triggers when a new calender entry is created

New Communication

New Communication

Triggers when a new communication is created

New Contact

New Contact

Triggers when a new contact is created

Do thisActions

Action is the task that follows automatically within your Databricks integrations.

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

Find a User

Find a User

Find a user by name

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Frequently Asked Questions

How do I start an integration between Databricks and Clio?

To start, connect both your Databricks and Clio accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Clio (or vice versa).

Can we customize how data from Databricks is recorded in Clio?

Absolutely. You can customize how Databricks data is recorded in Clio. This includes choosing which data fields go into which fields of Clio, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Databricks and Clio?

The data sync between Databricks and Clio typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Databricks to Clio?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Databricks and Clio?

Yes, you can set conditional logic to control the flow of data between Databricks and Clio. 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.

Databricks

About 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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Clio

About Clio

Clio provides comprehensive cloud-based legal practice management software, streamlining operations for law firms and legal practitioners.

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