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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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Installing Elasticsearch

In the last chapter, we introduced the Elastic Stack. We covered the basics and different use cases. Now we will focus on Elasticsearch and learn more about it. In this chapter, we will cover the Elasticsearch installation process on different operating systems. Elasticsearch can be installed and run on a computer or on the Elastic Cloud (assuming it's the hosted Elasticsearch service). The latter option uses Amazon Web Services (AWS) and Google Cloud Platform (GCP) to host Elasticsearch and Kibana, and users should note that to run the Elastic Stack, Java 8 or newer is needed. So, let's start the Elasticsearch installation process to understand how it can be installed on different operating systems. In this chapter, we are going to cover the following:

Installing Elasticsearch on Linux or macOS
Installing Elasticsearch using the Debian package...

The rest of the chapter is locked

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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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