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 Analyst certification (more info coming soon).

Topics Covered

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

Course Details

Audience

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

Duration

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

Upcoming Classes

Classroom Schedule

Prerequisites

No prior knowledge of Kibana or the Elastic Stack required

Requirements

  • 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

  • tysons corner

    Mar 30 - Apr 1, 2020

    9:00 am - 5:00 pm EDT

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  • london

    Apr 21 - Apr 23, 2020

    9:00 am - 5:00 pm BST

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  • tokyo

    Apr 20 - Apr 22, 2020

    9:00 am - 5:00 pm JST

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  • berlin

    Apr 27 - Apr 29, 2020

    9:00 am - 5:00 pm CEST

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  • Virtual

    Mar 9 - Mar 12, 2020

    9:00 am - 3:00 pm PDT

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  • Virtual

    Mar 23 - Mar 26, 2020

    9:00 am - 3:00 pm PDT

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  • Virtual

    Apr 13 - Apr 16, 2020

    9:00 am - 3:00 pm PDT

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  • Virtual

    Apr 27 - Apr 30, 2020

    9:00 am - 3:00 pm PDT

    Register Now