The Elastic Stack (formerly known as the ELK Stack) is a powerful set of open-source tools for managing and making sense of complex data. Using the Elastic stack, you more easily search, visualize, and process data, as well as centralize logging data to quickly root out issues. The ELK Stack is a combination of three open-source products - Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server-side data processing pipeline that inputs data from various sources at the same time, transforms it and sends it to a stash. Kibana enables users to visualise data with graphs and charts in Elasticsearch. The Elastic Stack (ELK Stack) training course provides a good understanding of Elasticsearch, Logstash and Kibana. You will learn about Elasticsearch queries such as Boolean Operators, Fields, Ranges and URI Search. You will also gain knowledge on ELK elasticity and use cases. By the end of the course, you will understand how to use Elasticsearch, Logstash and Kibana, and how it can be used in business.
By attending Elastic Stack (ELK Stack) workshop, delegates will learn to:
- Get started with Elastic Stack components
- Perform useful search and analytics queries in Elasticsearch
- Query and aggregate Elasticsearch indexed data with Query DSL
- Perform more complex searches using Kibana with data indexed in Elasticsearch
- Ingest different types of machine data in both Logstash and Beats
- Work with search results to create powerful visualizations with Kibana
- Secure and monitor your Elastic Stack
- Extend your Elastic Stack deployment to a production environment
To master the ELK Stack concepts, you must-have the basic understanding of the following:
- SQL
- JSON Data Format
- Restful API
This Elastic Stack (ELK Stack) class is intended for:
- Full Stack Technical Architects
- Big Data Analytics Engineers - Elastic Stack
- System Log Analysts
- Web Analysts
- Web Administrators