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Key benefits

New to ElasticSearch? Here’s what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time

Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy

Learn to create large-scale ElasticSearch clusters using best practices

Learn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch)

Description

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.

What you will learn

Get to know about advanced Elasticsearch concepts and its REST APIs

Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients

Dig into wide range of queries and find out how to use them correctly

Design schema and mappings with built-in and custom analyzers

Excel in data modeling concepts and query optimization

Master document relationships and geospatial data

Build analytics using aggregations

Setup and scale Elasticsearch clusters using best practices

Learn to take data backups and secure Elasticsearch clusters

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

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Amazon verified reviews

Bill Jones Apr 08, 2016

Using Elasticsearch at work and needed to have some material to help me become more familiar with the product. With a ELK stack this book was incredibly helpful and realistic to the approach to object data we're working with in sets. I highly recommend integrating a kanban board with ES in order to take full advantage of ES. I felt the book was very well organized, clearly written, and easy to follow along. CRUD is where it is at in the real world so the fact that it is included in the book was really great.

Amazon Verified review

ruben Apr 06, 2016

This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.

Winston Apr 03, 2016

Elasticsearch Essentials takes the reader down a very well design road of learning the in's and out's of Elasticsearch. Readers will gain and understanding of geospatial data and using NOSQL document relationships. Chapter 7 was my favorite detailing different methods and case studies on search and bulk operations.

Tim Crothers Apr 07, 2016

I've been using Elasticsearch for over four years so I didn't expect this book to teach me anything. While I don't agree with everything the author says (statements like "All real-world data comes in object form") I loved the book overall and even managed to pick up a few useful tidbits I didn't know. The author uses a very straight-forward and practical approach to gaining fundamental skills in using Elasticsearch. Very good resource.

C. Mcc Feb 28, 2016

Solid book for introducing Elasticsearch.

Elasticsearch Essentials: Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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