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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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Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
Sharath Kumar M N Sharath Kumar M N
Author Profile Icon Sharath Kumar M N
Sharath Kumar M N
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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 learned about the essential Kibana Console UI and curl commands that we can use to interact with Elasticsearch with the REST API. Then, we looked at the core concepts of Elasticsearch. We performed customary CRUD operations, which are required as support for any data store. We took a closer look at how to create indexes, and how to create and manage mappings. We ended this chapter with an overview of the REST API in Elasticsearch, and the common conventions that are used in most APIs.

In the next chapter, we will take a deep dive into the search capabilities of Elasticsearch to understand the maximum benefits of Elasticsearch as a search engine.

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