
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 Thankster and Databricks
Find or Create User By Email
Creates a New Card
Apply Your Image in your Template
Order Your Project
Create and send a Thankster card project using a selected template, sender and recipient details, and optional custom text and images.
Creates a new Databricks cluster for processing tasks.
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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 Thankster and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Thankster triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Thankster 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 Thankster 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 Thankster 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.
Thankster is an online platform that allows users to create and send personalized thank you cards and notes. It offers a variety of templates and customization options to help users express gratitude in a meaningful way. The service is ideal for both personal and business use, making it easy to maintain relationships and show appreciation.
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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