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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)

What you need for this book

The book was written using Elasticsearch 5.1.2, and all the examples used in the book should work with it. The request format used in this book is based on the Kibana Console and you’ll need Kibana Console or Sense Chrome plugin to execute the examples used in this book. Please refer to Query format used in this book section of Chapter 2, Setting up Elasticsearch and Kibana for more details. If using Kibana or Sense is not option, you can use other HTTP clients such as cURL or Postman. The request format is slightly different and is explained in the Using cURL or Postman section of Chapter 2, Setting Up Elasticsearch and Kibana.

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