Connect Databricks and Sumo Logic to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Databricks and Sumo Logic?

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

Can we customize how data from Databricks is recorded in Sumo Logic?

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

How often does the data sync between Databricks and Sumo Logic?

The data sync between Databricks and Sumo Logic 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 Sumo Logic?

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 Sumo Logic?

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

About Sumo Logic

Sumo Logic is a cloud-based machine data analytics platform that provides real-time insights and continuous intelligence across the entire application lifecycle and stack. It helps organizations monitor, troubleshoot, and secure their applications and infrastructure by collecting, analyzing, and visualizing log and metric data.

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