Connect Databricks and Cakemail to Build Intelligent Automations

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Databricks

When this happens...

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Cakemail

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Contact

New Contact

Trigger when a new contact is added.

Contact Updated

Contact Updated

Triggers when a contact is updated.

Contact Deleted

Contact Deleted

Triggers when a contact is deleted.

Contact Tagged

Contact Tagged

Triggers when a contact is tagged.

Contact Untagged

Contact Untagged

Triggers when a contact is untagged.

New Campaign

New Campaign

Triggers when a campaign is created.

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

Add a Contact

Add a Contact

Add a new contact in Cakemail

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Frequently Asked Questions

How do I start an integration between Databricks and Cakemail?

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

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

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

How often does the data sync between Databricks and Cakemail?

The data sync between Databricks and Cakemail 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 Cakemail?

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 Cakemail?

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

About Cakemail

Cake Mail provides an email marketing solution that helps businesses send promotional emails, automate tasks, and improve engagement with email campaigns.

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