When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and...
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The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques.
Working with Elastic Search is a three-day hands-on course that will provide you with a fundamental understanding of what the stack is all about, and help you use it efficiently to build powerful real-time data processing applications. The first few sections of the course will help you understand how to set up the stack by installing tools, and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization. As you work through the course, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. By the end of this course, you’ll be well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Students who attend this course will learn well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Working in a hands-on lab environment led by our expert instructor, you’ll explore:
This course is geared for attendees wants to get guide to storing, managing, and analyzing data with the updated features of Elastic 7.0.
Incoming students should possess:
Introducing Elastic Stack
Getting Started with Elasticsearch
Searching - What is Relevant
Analytics with Elasticsearch
Analyzing Log Data
Building Data Pipelines with Logstash
Visualizing Data with Kibana
Elastic X-Pack