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Databricks + tangelo

Connect Databricks and tangelo to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Databricks and tangelo?

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

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

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

How often does the data sync between Databricks and tangelo?

The data sync between Databricks and tangelo 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 tangelo?

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 tangelo?

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

Tangelo is making employee onboarding approachable and easy. With our simple checklists, employees know exactly what to focus on to get ramped up faster than ever.

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