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Elasticsearch 5.x Cookbook - Third Edition (Paperback, 3rd Revised edition)
Loot Price: R1,612
Discovery Miles 16 120
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Elasticsearch 5.x Cookbook - Third Edition (Paperback, 3rd Revised edition)
Expected to ship within 10 - 15 working days
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Over 170 advanced recipes to search, analyze, deploy, manage, and
monitor data effectively with Elasticsearch 5.x About This Book *
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 Who This Book Is For If you are a
developer who wants to get the most out of Elasticsearch for
advanced search and analytics, this is the book for you. Some
understanding of JSON is expected. If you want to extend
Elasticsearch, understanding of Java and related technologies is
also required. 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 In
Detail 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. Style and approach This book follows a
problem-solution approach to effectively use and manage
Elasticsearch. Each recipe focuses on a particular task at hand,
and is explained in a very simple, easy to understand manner.
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