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You're reading from Elasticsearch 7 Quick Start Guide Get up and running with the distributed search and analytics capabilities of Elasticsearch

Product type Paperback

Published in Oct 2019

Publisher Packt

ISBN-13 9781789803327

Length 186 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Douglas Miller

Anurag Srivastava

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Table of Contents (10) Chapters

Preface

1. Introduction to Elastic Stack FREE CHAPTER

2. Installing Elasticsearch

3. Many as One – the Distributed Model

4. Prepping Your Data – Text Analysis and Mapping

5. Let's Do a Search!

6. Performance Tuning

7. Aggregating Datasets

8. Best Practices

9. Other Books You May Enjoy

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Summary

In this chapter, we have covered the installation of Elasticsearch on different operating systems. We started with installation on Linux and macOS. Then we covered installation using the Debian and rpm packages. We also covered installing Elasticsearch manually using the rpm package. After that, we covered installation on Windows using the MSI installer of Elasticsearch. Then we covered how to install Elasticsearch on macOS using Homebrew. Finally, we covered how to check whether Elasticsearch is running by hitting the Elasticsearch URL. In this way, we have covered the process of installing Elasticsearch on different operating systems. In the next chapter, we will cover how to interact with Elasticsearch using REST calls to call different operations.

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Authors (2)

Srivastava

Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.

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Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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