Complete Elastic search tutorial - search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats
InstructorSundog Education by Frank Kane
Free
Instruction covers importing data through various methods including scripts, Log0st, and Apache Spark.
The curriculum includes multiple exercises focused on data insertion, querying, and log analysis.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This Kibana dashboard visualizes Apache2 server data through a geographic IP map, response code trends, and URL distribution charts.
The Kibana visualization editor displays the configuration settings for a Shakespeare dataset, including specific dropdowns for metrics, buckets, and field selection.
The presenter outlines key Elasticsearch operations including creating indices and mappings, importing data, and aggregating data.
The presenter introduces the course topics of Elasticsearch and the Elastic Stack while standing next to large text labels on a patterned background.
The curriculum lacks coverage of TLS and SSL configuration between nodes in a cluster setup. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
A lack of copy-pasteable commands requires significant manual typing, which can slow down progress.
The curriculum aligns well with the target of managing big data sets via various ingestion methods.