Kibana and Reporting Capabilities

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