ABOUT


Kibana is a visualization tool used for log and time series to create bar, line and scatter plots or pie charts and maps on large volumes of data. Kibana is also an exploration tool used for log and time series analytics, application monitoring, and operational intelligence. This is integrated with Elasticsearch a popular analytics and search engine. Kibana is popular for it’s easy to use features which gives advantage to various individuals, teams or organization.


COURSE OBJECTIVES

The course begins with an overview of event data and how Elasticsearch can aggregate this type of data in near real-time. Core Kibana 4 concepts are explored through lecture, labs, and Q&A sessions. After learning the core concepts users will explore a 300K events data set to find insights.

Audience

Technical and non-technical audience who want to learn how to analyze their small or big data with Kibana. This course is designed for analysts as well as engineers.

Duration

  • 1 day | Class is scheduled from 9:00 a.m. to 5:00 p.m.

PRE-REQUISITES

  • No prior knowledge of Kibana or the Elastic Stack is required

Requirements

  • Laptop with connectivity to Wi-Fi
  • Mac, Linux OS, or Windows 7 or later
  • A modern web browser

FEATURES


AGENDA


Modules

  • A Story About Data
  • Introduction to the Elastic Stack
  • Understanding Event Data
  • Log in to Your Elastic Cloud Cluster (+ Lab)
  • Configuring Kibana Index Patterns (+ Lab)
  • Kibana Discover Interface (+ Lab)
  • Elasticsearch Aggregations
  • Kibana Visualization Interface (+ Lab)
  • Kibana Dashboard Interface (+ Lab)
  • Analyzing Apache Log Data (+ Lab)
  • Search Queries (+ Lab)
  • Advanced Topics