Course details

Kibana and Reporting Capabilities

Kibana and Reporting Capabilities


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
In this course, you'll learn about the advanced capabilities of Kibana, with a focus on data discovery and management, machine learning concepts in ELK, plugin management, and reporting.

Target Audience
IT architects and developers

Prerequisites
None

Expected Duration (hours)
1.1

Lesson Objectives

Kibana and Reporting Capabilities

  • start the course
  • specify how to configure and manage indexes and fields in Kibana
  • list the X-Pack and reporting features provided by Kibana
  • work with the reporting capabilities of Kibana by implementing X-Pack
  • describe how to facilitate Kibana's data discovery capabilities
  • demonstrate data discovery using the time filter features in Kibana
  • work with filters and use the field filtering capabilities provided by Kibana
  • describe the implementation and benefits of machine learning in analytics
  • list the machine learning capabilities of Kibana and how they benefit data management
  • work with machine learning jobs in ELK
  • describe and specify the limitations associated with ELK Stack
  • demonstrate how to work with time series data visualization to exploit the capabilities provided by time series
  • demonstrate how to manage business data with the help of business use cases
  • use ELK to build different variations of time series
  • Course Number:
    os_doek_a05_it_enus

    Expertise Level
    Intermediate