Learning ElasticSearch 5.0 [Video]

More Information
  • Understand why you should implement Elastic Search in your next project & beyond
  • Add and remove indices & documents
  • Add data in JSON format & interact via RESTful API using http GET & DELETE calls.
  • Use filters, ranges and matching, along with other advanced features, is covered.
  • Learn about Kibana and Logstash to serve as an excellent starting point for building the Elastic search Stack.
  • How to perform an full analysis, with ElasticSearch, Logstahs and Kibana on Apache web logs
  • Run some more advanced DSL search queries.
  • Learn the differences between Solr from Elastic Search.

This course is a step-by-step guide to using Elasticsearch in combination with the rest of the ELK stack (now called Elastic Stack) to ship, parse, store, and analyze logs.

You’ll start this course by getting an understanding of what ElasticSearch is, what it’s used for, and why it’s important. Then, you’ll be introduced to the new features in ElasticSearch 5.0. We’ll go through each of the fundamental concepts of ElasticSearch such as queries, indices, and aggregation.

You’ll find out how to add more power to your searches using filters, ranges, and more. You’ll also see how ElasticSearch can be used with the other components of the Elastic Stack such as LogStash, Kibana, and Beats. Finally, we’ll take a walk through getting ElasticSearch up and running on the popular logstash Apache web log analysis.

Aside from learning how to add more power to your searches with filters, ranges, and more, you'll also see how ElasticSearch can be used with the other components of the Elastic Stack such as LogStash, Kibana and Beats. Finally, we’ll build, test and run our first Logstash pipeline to analyze Apache web logs. This step combines all the understanding of ElasticSearch, Logstash, Kibana and the lightweight data shipper FileBeat that we acquired from previous sections.

By the end of this course, you will have a firm understanding of all the fundamentals of ElasticSearch 5.0, along with knowledge of practical real world usage.

Style and Approach

This course is a comprehensive beginner-level tutorial on Elastic Search with concepts explained in a very easy to understand manner. Practical tips and techniques are provided at every step of the way to ensure you are able to grasp each topic as quickly as possible.

  • Get the basics of ElasticSearch concepts, APIs and best use cases
  • Create large-scale ElasticSearch clusters and build analytics using aggregation
  • Implement Elastic Search 5.0 in the logstash Apache web log analysis.
Course Length 2 hours 55 minutes
ISBN 9781783984589
Date Of Publication 24 Jan 2017


Ethan Anthony

Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data-centric technologies. He is also the Founder of XResults, where the vision is to harness the power of big data to deliver intuitive customer-facing solutions, largely to non-technical professionals.

Ethan is Harvard-educated in the areas of data science and software engineering. He began using ElasticSearch in 2012 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted globally with firms in a cross-section of industry verticals, from the U.S. to the Far East.