Anurag Srivastava - Elasticsearch 7 Quick Start Guide : get up and running with the distributed search and... analytics capabilities of elasticsearch.
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Get up and running with the distributed search and analytics capabilities of Elasticsearch
Copyright 2019 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
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First published: October 2019
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ISBN 978-1-78980-332-7
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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.
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.
Craig Brown is an independent consultant, offering services for Elasticsearch and other big data software. He is a core Java developer with 25+ years' experience and more than 10 years of Elasticsearch experience. He has also practiced with machine learning, Hadoop, and Apache Spark, is a co-founder of the Big Mountain Data user group in Utah, and is a speaker on Elasticsearch and other big data topics.
Craig has founded NosqlRevolution LLC, focusing on Elasticsearch and big data services, and PicoCluster LLC, a desktop data center designed for learning and prototyping cluster computing and big data frameworks.
If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.
Elasticsearch is one of the most popular tools for distributed open source search and analytics. This book will help you in understanding everything about the new features of Elasticsearch, and how to use them efficiently for searching, aggregating, and indexing data with speed and accuracy, while also helping you understand how you can use them to build your own search applications with ease. You will also acquire a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. Next, you'll learn how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also discover how to install, configure, manage, and secure Elasticsearch clusters, in addition to understanding how to troubleshoot any issues you may encounter along the way. Finally, the book helps you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results.
This book is for software developers, engineers, data architects, system administrators, or anyone who wants to get up and running with Elasticsearch 7.
, Introduction to Elastic Stack , will give you a brief history and background on Elasticsearch. We will also get introduced to log analysis and will cover some of the core components of the Elastic Stack architecture.
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