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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
Languages
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Author (1)
Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. 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 state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
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Introduction


In order to efficiently use ElasticSearch, it is very important to understand how it works. The goal of this chapter is to give the reader an overview of the basic concepts of ElasticSearch such as node, index, shard, type, records, and fields.

ElasticSearch can be used both as a search engine and as a data store. A brief description of the ElasticSearch logic helps the user to improve the performance and quality, and decide when and how to invest in infrastructure to improve scalability and availability. Some details about data replications and base node communication processes are also explained. At the end of this chapter the protocols used to manage ElasticSearch are also discussed.

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ElasticSearch Cookbook
Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627
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Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. 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 state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro