Connect Flow and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Task
Task Completed
New Project
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Flow and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Task
Triggers when a new task is created in GetFlow.
Task Completed
Triggers when a task is marked as completed in GetFlow.
New Project
Triggers when a new project is added.
Do thisActions
Action is the task that follows automatically within your Flow integrations.
Create Task
Creates a new task in GetFlow Account.
list task
get a task in flow.
Get List
get a List in flow.
List workspaces
get a workspaces in flow.
List memberships
get a memberships in flow.
Create Cluster
Creates a new Databricks cluster for processing tasks.
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Frequently Asked Questions
To start, connect both your Flow and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Flow triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Flow 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 Flow 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 Flow 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.
About Flow
GetFlow is a task and project management tool designed to help teams collaborate efficiently and manage their workflows effectively. It offers features such as task assignments, due dates, project timelines, and team communication to streamline project management processes.
Learn MoreAbout Databricks
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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