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Learning Elasticsearch

Learning Elasticsearch

By : Andhavarapu
4.3 (4)
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Learning Elasticsearch

Learning Elasticsearch

4.3 (4)
By: Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
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10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Installing Elasticsearch

In this section, we will install Elasticsearch on a local machine as a single-node cluster. Once we have the cluster up and running, we will learn how to use cluster APIs to check the health of the nodes. We have a Windows section for Windows users, a Mac OS X section for Mac users, and a Debian/RPM section for users who want to install using the Debian (deb)/RPM package.

If you are a Linux/Unix user, you can either install using the Debian/RPM package or you can follow instructions in the Mac OS X section.

Installing Java

Elasticsearch is a Java-based application. Before we can run Elasticsearch, we need to make sure that we have Java installed. You need a Java Runtime Environment(JRE). Elasticsearch...

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