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When this happensTriggers
A trigger is an event that starts a workflow.
Retrieve Paystack transactions from the last 15 minutes, optionally filtered by status.
Fetches Paystack transactions marked as abandoned created in the last 15 minutes.
Retrieve Paystack subscriptions created within a recent time window and filter by status (new or cancelled).
Return subscriptions cancelled on Paystack within the last 15 minutes.
Retrieve refunds processed in the last 15 minutes from Paystack.
Retrieve Paystack orders created in the last 15 minutes.
Action is the task that follows automatically within your Databricks integrations.
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
Disable (cancel) a Paystack subscription using its subscription code and email token.

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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 Databricks and Paystack accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Paystack (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Paystack. This includes choosing which data fields go into which fields of Paystack, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Paystack 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 Databricks and Paystack. 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.
Learn MoreIntegrate seamless payment processing features with Paystack, enabling businesses to handle transactions efficiently and securely.
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