Enable Integrations or automations with these events of Monetizze and Databricks
Get all transactions, filtering by product, sales code (transaction), sale start date, completion date, status, payment method with the possibility of paginating the results.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
This action deletes a job by ID.
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete a Repo
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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 Monetizze and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Monetizze triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Monetizze 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 Monetizze 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 Monetizze 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.
Monetizze is a versatile payment platform that also integrates affiliate marketing. It allows users to become either product creators or affiliates, enabling the sale of digital and physical products. With Monetizze, you can manage your payments, subscriptions, and affiliate relationships in one place, making it ideal for businesses looking to sell info products, physical items, or run affiliate programs.
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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