Elastic Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence. It allows users to create and share dynamic dashboards that display changes in Elasticsearch query results in real-time.
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About Elastic Kibana
Elastic Kibana was created in 2013 by Rashid Khan as an open-source data visualization tool to work with Elasticsearch. It was developed to provide users with an intuitive way to visualize and explore large volumes of log and time-series data stored in Elasticsearch. The goal was to enhance the capabilities of Elasticsearch by adding powerful visual analytics features.
Strengths of Elastic Kibana include its seamless integration with Elasticsearch, real-time data visualization, and user-friendly interface. Weaknesses involve a steep learning curve for beginners and limited support for non-Elasticsearch data sources. Competitors include Grafana, Tableau, and Splunk.
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How to hire a Elastic Kibana expert
An Elastic Kibana expert must have strong skills in Elasticsearch query language (EQL), proficiency in creating and managing Kibana dashboards, knowledge of data visualization techniques, experience with JSON and REST APIs, and familiarity with scripting languages like JavaScript or Python for advanced customizations.
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