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Home > Computing and Information Technology > Computer science > Elasticsearch 7 Quick Start Guide: Get up and running with the distributed search and analytics capabilities of Elasticsearch
Elasticsearch 7 Quick Start Guide: Get up and running with the distributed search and analytics capabilities of Elasticsearch

Elasticsearch 7 Quick Start Guide: Get up and running with the distributed search and analytics capabilities of Elasticsearch


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About the Book

Get the most out of Elasticsearch 7’s new features to build, deploy, and manage efficient applications Key Features Discover the new features introduced in Elasticsearch 7 Explore techniques for distributed search, indexing, and clustering Gain hands-on knowledge of implementing Elasticsearch for your enterprise Book DescriptionElasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch. What you will learn Install Elasticsearch and use it to safely store data and retrieve it when needed Work with a variety of analyzers and filters Discover techniques to improve search results in Elasticsearch Understand how to perform metric and bucket aggregations Implement best practices for moving clusters and applications to production Explore various techniques to secure your Elasticsearch clusters Who this book is forThis book is for software developers, engineers, data architects, system administrators, and anyone who wants to get up and running with Elasticsearch 7. No prior experience with Elasticsearch is required.

Table of Contents:
Table of Contents Introducing Elastic Stack Installing Elasticsearch Many as One – the Distributed Model Prepping Your Data – Text Analysis and Mapping Let's Do a Search! Performance Tuning Aggregating Datasets Best Practices

About the Author :
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 books—Mastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt. Douglas Miller is an expert in helping fast-growing companies to improve performance, stability, and building search platforms using Elasticsearch. Clients (Walgreens, Nike, Boeing, Dish Networks) have seen sales increase, fast performance times, and lower overall cost in the total cost of ownership for their Elasticsearch clusters.


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Product Details
  • ISBN-13: 9781789801880
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Language: English
  • No of Pages: 186
  • ISBN-10: 1789801885
  • Publisher Date: 24 Oct 2019
  • Binding: Digital (delivered electronically)
  • No of Pages: 186
  • Sub Title: Get up and running with the distributed search and analytics capabilities of Elasticsearch


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