Elasticsearch 5.x Cookbook - Third Edition

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  • 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

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.

  • 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
Page Count 696
Course Length 20 hours 52 minutes
ISBN 9781786465580
Date Of Publication 6 Feb 2017


Alberto Paro

Alberto Paro is an engineer, project manager, and software developer. He currently works as Big Data Practice Leader in NTTDATA in Italy on big data technologies, native cloud, and NoSQL solutions. He loves to study emerging solutions and applications mainly related to cloud and big data processing, NoSQL, NLP, and neural networks. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products using the state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL datastores, and related technologies.