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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
2. Introducing Elastic Stack FREE CHAPTER 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

Getting Started with Elasticsearch

In the first chapter, we looked at the reasons for learning about and using the Elastic Stack, and the use cases of the Elastic Stack.

In this chapter, we will start our journey of learning about the Elastic Stack by looking at the core of the Elastic Stack – Elasticsearch. Elasticsearch is the search and analytics engine behind the Elastic Stack. We will learn about the core concepts of Elasticsearch while doing some hands-on practice, where we will learn about querying, filtering, and searching.

We will cover the following topics in this chapter:

  • Using the Kibana Console UI
  • Core concepts of Elasticsearch
  • CRUD operations
  • Creating indexes and taking control of mapping
  • REST API overview
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