IntegrationsElasticsearchDatabricks
Elasticsearch + Databricks

Connect Elasticsearch and Databricks to Build Intelligent Automations

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Elasticsearch

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Databricks

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Frequently Asked Questions

How do I start an integration between Elasticsearch and Databricks?

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

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

Absolutely. You can customize how Elasticsearch 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.

How often does the data sync between Elasticsearch and Databricks?

The data sync between Elasticsearch and Databricks 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 Elasticsearch to Databricks?

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 Elasticsearch and Databricks?

Yes, you can set conditional logic to control the flow of data between Elasticsearch 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.

Elasticsearch

About Elasticsearch

Elasticsearch is a powerful, open-source search and analytics engine built on Apache Lucene. It is designed for horizontal scalability, real-time search, and support for multi-tenant environments.

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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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