
When this happens...

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of VSCO Workspace and Databricks
Create a new contact in VSCO Workspace address book using the provided details and optional custom fields.
Create a new job in VSCO Workspace (Tave), including name, stage, dates, and optional lead details.
Retrieves the list of all jobs or search based on projectclosed Status.
Retrieves the list of all jobs contacts
Retrieves the list of all notes
Retrieves the list of all orders
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your VSCO Workspace and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in VSCO Workspace triggers actions in Databricks (or vice versa).
Absolutely. You can customize how VSCO Workspace 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 VSCO Workspace 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 VSCO Workspace 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.
Tave is a comprehensive business management platform designed specifically for photographers and creative professionals. It offers tools for managing clients, projects, and finances, helping users streamline their workflow and grow their business.
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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