Kibana Data and Ops Analyst

Training

Course Summary

This course focuses on using Kibana to analyze data and operational metrics in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, including logging, metrics and uptime data. Starting with the fundamentals, you will learn the core concepts of data and operational analysis using Kibana — from aggregation-based charts, to complex time series visualizations, to building complex dashboards from multiple data sources. You will also learn how to use the Elastic Logs and Infrastructure apps. Through lectures, labs, and Q&A sessions, after this course you will be able to easily find answers and anomalies in your data sets. You will also be well prepared for our new Elastic Certified Ops Analyst certification (more info coming soon).

  • Kibana fundamentals
  • Kibana search
  • Kibana visualizations
  • Kibana dashboards
  • Kibana visual builder
  • Kibana management
  • Observability apps
  • Analyzing infrastructure data
  • Machine learning and alerting

Course Details

Any technical or non-technical users, including Data Analysts, Security Analysts, Operations Analysts, DevOps, as well as Monitoring and Observability teams

Classroom - 3 days | 8 hours per day
Virtual - 4 days | 5 hours per day

Classroom Schedule

No prior knowledge of Kibana or the Elastic Stack required

  • Mac, Linux, or Windows
  • Stable internet connection (virtual classroom)
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad-blockers and restart your browser before class

Upcoming Courses - Kibana Data and Ops Analyst

  • singapore

    Feb 26 - Feb 28, 2020

    9:00 am - 5:00 pm SGT

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  • mountain view

    Dec 3 - Dec 5, 2019

    9:00 am - 5:00 pm PDT

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  • mountain view

    Jan 21 - Jan 23, 2020

    9:00 am - 5:00 pm PDT

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  • anaheim

    Feb 10 - Feb 12, 2020

    9:00 am - 5:00 pm PDT

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  • Virtual

    Jan 13 - Jan 16, 2020

    9:00 am - 3:00 pm PDT

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  • Virtual

    Feb 18 - Feb 21, 2020

    9:00 am - 3:00 pm PDT

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  • Virtual

    Jan 27 - Jan 30, 2020

    11:00 am - 5:00 pm CDT

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  • Virtual

    Jan 20 - Jan 23, 2020

    9:00 am - 3:00 pm CEST

    Register Now