Kibana Data Analysis I - Virtual

Kibana Data Analysis I - Virtual

Summary

This instructor-led course focuses on using Kibana visualizations and dashboards to gain insights from indexed data.

Description

Starting with an overview of event data and the Elastic Stack approach to time-based data, you will learn the core concepts of Kibana Data Analysis through lectures, labs, and Q&A sessions. By the end of this course, you will be able to easily find answers in large (300K+) event data sets.

Note: This course is also available in-classroom.

Topics Covered
  • Introduction to the Elastic Stack
  • Understanding Event Data
  • Configuring Kibana Index Patterns
  • Kibana Discover Interface
  • Elasticsearch Aggregations
  • Kibana Visualization Interface
  • Kibana Dashboard Interface
  • Analyzing Apache Log Data
  • Search Queries
  • Advanced Topics
Download Course Outline

Duration

2 Days

Audience

Both technical and non-technical users that want to learn Kibana

Prerequisites

No prior knowledge of Kibana or the Elastic Stack is required

Setup Requirements

  • Laptop with Wi-Fi connectivity
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Additional Notes

Virtual Classroom Information
This virtual classroom training is taught over 4 consecutive days for 4 hours per day. Classes are offered in the morning and afternoon across different time zones. Open a specific offering (listed at the top of the page) to see the hours in which it will be held.

We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.

General Training Information
Have training questions? Review our FAQ or email us.

Onsite Training

For groups of three or more

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Public Training

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Classes marked with Full are full and no additional registrations are accepted. If you cannot find another class that suits your schedule, feel free to request a class and we will do our best to accomodate your needs.


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