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
Specialty Areas
- Systems Architecture
- Systems Development
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.