Connect Survser and Databricks to Build Intelligent Automations
Ready to use Survser and Databricks automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
new survey is created
runs when new survey is created
new survey response arrives
runs when new survey response arrives
Do thisActions
Action is the task that follows automatically within your Survser integrations.
Show surveys
Displays all surveys in your Survser account.
new survey response arrives
runs when new survey response arrives
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
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Frequently Asked Questions
To start, connect both your Survser and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Survser triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Survser 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 Survser 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 Survser 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 Survser
Survser is a user and product research tool that allows its users to create and deploy microsurveys within their digital products.
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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