Machine learningedit

As datasets increase in size and complexity, the human effort required to inspect dashboards or maintain rules for spotting infrastructure problems, cyber attacks, or business issues becomes impractical. Elastic machine learning features such as anomaly detection and outlier detection make it easier to notice suspicious activities with minimal human interference.

If you have a basic license, you can use the Data Visualizer to learn more about your data. In particular, if your data is stored in Elasticsearch and contains a time field, you can use the Data Visualizer to identify possible fields for anomaly detection:

Data Visualizer for sample flight data

[experimental] This functionality is experimental and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but experimental features are not subject to the support SLA of official GA features. You can also upload a CSV, NDJSON, or log file (up to 100 MB in size). The Data Visualizer identifies the file format and field mappings. You can then optionally import that data into an Elasticsearch index.

You need the following permissions to use the Data Visualizer with file upload:

  • cluster privileges: monitor, manage_ingest_pipelines
  • index privileges: read, manage, index

For more information, see Security privileges and Built-in roles.