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Learning Elastic Stack 7.0

You're reading from   Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Elastic Stack and Elasticsearch FREE CHAPTER
2. Introducing Elastic Stack 3. Getting Started with Elasticsearch 4. Section 2: Analytics and Visualizing Data
5. Searching - What is Relevant 6. Analytics with Elasticsearch 7. Analyzing Log Data 8. Building Data Pipelines with Logstash 9. Visualizing Data with Kibana 10. Section 3: Elastic Stack Extensions
11. Elastic X-Pack 12. Section 4: Production and Server Infrastructure
13. Running Elastic Stack in Production 14. Building a Sensor Data Analytics Application 15. Monitoring Server Infrastructure 16. Other Books You May Enjoy

Summary

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...

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