Introducing transforms in Elastic machine learning

Version 7.3 of the Elastic Stack introduced a powerful new feature — continuous index transforms! Transforms let you convert existing Elasticsearch indices into new summarized secondary indices, which opens doors to new insights and analytics. In the beta release, you can utilize pivot transforms to create entity-centric indices that summarize behavior by entity.

Highlights:

  • How to create entity-centric indices for tracking user behavior
  • Demo of transaction transform for multi-event tracking
  • Understand when transforms can be useful
  • Review the new transforms UI in Kibana and Elasticsearch APIs

Additional resources:

Want to try it for yourself? Take data frames for a spin with a free trial of our Elasticsearch Service

Steve Dodson

Machine Learning Tech Lead and Distinguished Engineer

Elastic

Tom Grabowski

R&D

Elastic

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