Organizing data for better analysis
One of the nicest things about ingesting data via the Elastic Agent is that by default, the data collected is normalized using the Elastic Common Schema (ECS). ECS is an open source specification that defines a common taxonomy and naming conventions across data that is stored in the Elastic Stack. As such, the data becomes easier to manage, analyze, visualize, and correlate across disparate data types – including across both performance metrics and log files.
Even if you are not using the Elastic Agent or other legacy Elastic ingest tools (such as Beats and Logstash) and are instead relying on other, third-party data collection or ingest pipelines, it is still recommended that you conform your data to ECS because it will pay big dividends when users expect to use this data for queries, dashboards, and, of course, ML jobs.
Note
More information on ECS can be found in the reference section of the website at https://www.elastic.co/guide...
