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Scaling Big Data with Hadoop and Solr, Second Edition

You're reading from   Scaling Big Data with Hadoop and Solr, Second Edition Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783553396
Length 166 pages
Edition 1st Edition
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Author (1):
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 Vijay Karambelkar Vijay Karambelkar
Author Profile Icon Vijay Karambelkar
Vijay Karambelkar
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Advanced analytics with Solr


Apache Solr provides excellent searching capabilities on the metadata. It is also possible to go beyond a search and faceting with the help of the integration space. As the search industry grows into the next generation, the expectations that search will go beyond a basic search has led to the creation of software such as Apache Solr, which is capable of providing an excellent browsing and filtering experience. It provides basic analytical capabilities. However, for many organizations, this is not sufficient. They would like to bring in capabilities of business intelligence and analytics on top of search engines. Today, it is possible to complement Apache Solr with such advanced analytical capabilities. We will be looking at enabling Solr integration with R.

R is an open source language and environment for statistical computing and graphics. More information about R can be found at http://www.r-project.org/. The development of R started in 1994 as an alternative...

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