Connect Databricks and snapADDY to Build Intelligent Automations

Choose a Trigger

Databricks

When this happens...

Choose an Action

snapADDY

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Get new contacts

Get new contacts

Retrieve contacts added to a specified contact list since the last run, returning the newest first.

Request a new Trigger for Databricks

Do thisActions

Action is the task that follows automatically within your Databricks integrations.

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

Create Contact Item

Create Contact Item

Add a new contact to a selected snapADDY contact list with personal, company, contact details, optional images, and custom fields.

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Frequently Asked Questions

How do I start an integration between Databricks and snapADDY?

To start, connect both your Databricks and snapADDY accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in snapADDY (or vice versa).

Can we customize how data from Databricks is recorded in snapADDY?

Absolutely. You can customize how Databricks data is recorded in snapADDY. This includes choosing which data fields go into which fields of snapADDY, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Databricks and snapADDY?

The data sync between Databricks and snapADDY typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Databricks to snapADDY?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Databricks and snapADDY?

Yes, you can set conditional logic to control the flow of data between Databricks and snapADDY. 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

About 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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snapADDY

About snapADDY

snapADDY is a powerful tool designed to streamline contact management and data collection processes. It helps businesses efficiently capture and organize contact information, making it easier to manage leads and customer relationships.

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