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Key benefits

Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies

Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business

Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x

Description

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch.

What you will learn

Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins

Develop tailored mapping to take full control of index steps

Build complex queries through managing indices and documents

Optimize search results through executing analytics aggregations

Monitor the performance of the cluster and nodes

Install Kibana to monitor cluster and extend Kibana for plugins

Integrate Elasticsearch in Java, Scala, Python and Big Data applications

What do you get with Print?

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Access this title in our online reader with advanced features

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Charles Apr 15, 2017

The book contains many single recipes for many things people do with elastic.For instance 1 recipe is "indexing a document" and another is "aggregation with a filter"The recipes are nothing you can't find online and some of them are worthless, like a good chunk of the book are recipes for scala and python apis which don't really belong in a book about elasticsearch. There's also a lot written on plugin development and web UIs for elastic..I would recommend it if you need an elastic reference for when google is unavailable - and there's a few good tips on in depth technical stuff but its not a great book if you want to learn advanced elasticsearch things you can't find online.

Amazon Verified review

Rajeev Goel Sep 25, 2017

Not upto mark, Coding examples are using syntax from Elasticsearch -5.0. Advanced features are not explained well.

jbdemonte Mar 23, 2017

Je m'attendais à un vrai cookbook, j'ai rien trouvé de plus dans ce boucain que je n'avais dans les autres

G.S May 10, 2018

Not well written, apparently written in another language originally and translated to English and it shows.

Elasticsearch 5.x Cookbook: Distributed Search and Analytics , Third Edition

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