The session will explore practical ways to help data scientists integrate Elasticsearch and Kibana into the broader data science ecosystem. We'll cover the Eland Python library, Elasticsearch’s supervised machine learning features, and how to develop custom visualizations in Jupyter Notebooks that can be deployed to Kibana dashboards. Additionally, the talk will touch on new developments like Elasticsearch’s Apache Arrow support for ES|QL and how to use Elasticsearch as a data source for dashboards built with the Observable Framework. You’ll walk away with a good bunch of examples and references to integrate this in your everyday work.

This video is a recording from ElasticON Tour Munich 2024. Make sure to join your local Elastic User Group to stay up-to-date on upcoming meetups: [ Ссылка ]

Speaker: Walter Rafelsberger, Principal MLE I at Elastic

Timestamps:
0:00 Introduction
0:57 Data science workflows
4:54 Pip install Eland
7:17 Elasticsearch data frame analytics
10:58 Jupyter2kibana
17:54 Data science + static site generation
24:30 Recap

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