
When this happens...
New Organization
New Person Added
New Ticket
New Task

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.
This trigger checks for newly created organizations in Deskpro on a scheduled interval (e.g., every 5 or 15 minutes).
This trigger automatically checks for new people (users) added to your Deskpro account on a regular schedule (e.g., every 5 or 15 minutes).
Checks for any new ticket created
This trigger checks for newly created tasks in Deskpro.
Action is the task that follows automatically within your Deskpro integrations.
Create a Breand in Deskpro
Create a new Deskpro support ticket with subject, requester email, message (HTML or text), context (agent/user), and status.
Create a new organization in Deskpro, optionally setting parent org, labels, summary, picture, phone number, and primary contact.
Retrieve tickets from Deskpro using a query string.
Search Deskpro organizations by exact or partial name and return matching organization records or a message if none are found.
Add a text or HTML message to an existing Deskpro ticket to update the requester or record ticket details.

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