Elasticsearch Blueprints

Nonfiction, Computers, Programming, Object Oriented Programming, Database Management, Data Processing, Internet
Cover of the book Elasticsearch Blueprints by Vineeth Mohan, Packt Publishing
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Author: Vineeth Mohan ISBN: 9781783984930
Publisher: Packt Publishing Publication: July 24, 2015
Imprint: Packt Publishing Language: English
Author: Vineeth Mohan
ISBN: 9781783984930
Publisher: Packt Publishing
Publication: July 24, 2015
Imprint: Packt Publishing
Language: English

Elasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Utilizing the Apache Lucene library (also used in Apache Solr), Elasticsearch enables powerful full-text search, as well as autocomplete "morelikethis" search, multilingual functionality, and an extensive search query DSL.

This book starts with the creation of a Google-like web search service, enabling you to generate your own search results. You will then learn how an e-commerce website can be built using Elasticsearch. We will discuss various approaches in getting relevant content up the results, such as relevancy based on how well a query matched the text, time-based recent documents, geographically nearer items, and other frequently used approaches.

Finally, the book will cover various geocapabilities of Elasticsearch to make your searches similar to real-world scenarios.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Elasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Utilizing the Apache Lucene library (also used in Apache Solr), Elasticsearch enables powerful full-text search, as well as autocomplete "morelikethis" search, multilingual functionality, and an extensive search query DSL.

This book starts with the creation of a Google-like web search service, enabling you to generate your own search results. You will then learn how an e-commerce website can be built using Elasticsearch. We will discuss various approaches in getting relevant content up the results, such as relevancy based on how well a query matched the text, time-based recent documents, geographically nearer items, and other frequently used approaches.

Finally, the book will cover various geocapabilities of Elasticsearch to make your searches similar to real-world scenarios.

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