Book Image

Learning Elastic Stack 7.0 - Second Edition

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 7.0 - Second Edition

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools that help in performing 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. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book 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 search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, 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. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Table of Contents (17 chapters)
Free Chapter
Section 1: Introduction to Elastic Stack and Elasticsearch
Section 2: Analytics and Visualizing Data
Section 3: Elastic Stack Extensions
Section 4: Production and Server Infrastructure


In this chapter, we took a deep dive into the search capabilities of Elasticsearch. We looked at the role of analyzers and the anatomy of an analyzer, saw how to use some of the built-in analyzers that come with Elasticsearch, and saw how to create custom analyzers. Along with a solid background on analyzers, we learned about two main types of queries—term-level queries and full-text queries. We also learned how to compose different queries in more complex queries using one of the compound queries.

This chapter provided you with sound knowledge to get a foothold on querying Elasticsearch data. There are many more types of queries supported by Elasticsearch, but we have covered the most essential ones. This should help you get started and enable you to understand other types of queries from the Elasticsearch reference documentation.

In Chapter 4, Analytics with Elasticsearch...