• Online, Self-Paced
Course 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.

Learning Objectives

Data management Using Kibana

  • 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

Data Discovery

  • 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

Machine Learning in 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

Time Series in Kibana

  • 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

Practice: Time Series Using ELK

  • use ELK to build different variations of time series

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture
  • Systems Development