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Elasticsearch 7 Quick Start Guide - Anurag Srivastava, Douglas Miller

Elasticsearch 7 Quick Start Guide

Get up and running with the distributed search and analytics capabilities of Elasticsearch
Buch | Softcover
186 Seiten
2019
Packt Publishing Limited (Verlag)
978-1-78980-332-7 (ISBN)
CHF 41,85 inkl. MwSt
Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.
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.

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.

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

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 75 x 93 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Informatik Web / Internet
ISBN-10 1-78980-332-2 / 1789803322
ISBN-13 978-1-78980-332-7 / 9781789803327
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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