Elasticsearch 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 for

This 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.

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

�ber die Autorinnen und Autoren

Anurag Srivastava is a senior technical lead since 11 years in a multinational software company in web-based application development. He has led and handled teams and clients since 7 years of his professional career. Proficient in designing and deployment of scalable applications, he has multiple certifications in ML and data science using Python. He is well experienced with the Elastic stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, or relational databases.

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.

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