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Elasticsearch Essentials
Elasticsearch Essentials

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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Profile Icon Bharvi Dixit
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (6 Ratings)
Paperback Jan 2016 240 pages 1st Edition
eBook
zł59.99 zł141.99
Paperback
zł177.99
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Arrow left icon
Profile Icon Bharvi Dixit
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (6 Ratings)
Paperback Jan 2016 240 pages 1st Edition
eBook
zł59.99 zł141.99
Paperback
zł177.99
Subscription
Free Trial
eBook
zł59.99 zł141.99
Paperback
zł177.99
Subscription
Free Trial

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Elasticsearch Essentials

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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.

Who is this book for?

Anyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 30, 2016
Length: 240 pages
Edition : 1st
Language : English
ISBN-13 : 9781784391010
Vendor :
Elastic
Category :
Languages :

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Product Details

Publication date : Jan 30, 2016
Length: 240 pages
Edition : 1st
Language : English
ISBN-13 : 9781784391010
Vendor :
Elastic
Category :
Languages :

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Frequently bought together


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Total 533.97
Elasticsearch Server - Third Edition
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Elasticsearch Essentials
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Total 533.97 Stars icon

Table of Contents

11 Chapters
1. Getting Started with Elasticsearch Chevron down icon Chevron up icon
2. Understanding Document Analysis and Creating Mappings Chevron down icon Chevron up icon
3. Putting Elasticsearch into Action Chevron down icon Chevron up icon
4. Aggregations for Analytics Chevron down icon Chevron up icon
5. Data Looks Better on Maps: Master Geo-Spatiality Chevron down icon Chevron up icon
6. Document Relationships in NoSQL World Chevron down icon Chevron up icon
7. Different Methods of Search and Bulk Operations Chevron down icon Chevron up icon
8. Controlling Relevancy Chevron down icon Chevron up icon
9. Cluster Scaling in Production Deployments Chevron down icon Chevron up icon
10. Backups and Security Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(6 Ratings)
5 star 66.7%
4 star 16.7%
3 star 0%
2 star 16.7%
1 star 0%
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Top Reviews

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Bill Jones Apr 08, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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 Amazon
ruben Apr 06, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Winston Apr 03, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Tim Crothers Apr 07, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
C. Mcc Feb 28, 2016
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Solid book for introducing Elasticsearch.
Amazon Verified review Amazon
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