Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By : Hrishikesh Vijay Karambelkar
Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By: Hrishikesh Vijay Karambelkar

Overview of this book

Table of Contents (13 chapters)
Scaling Big Data with Hadoop and Solr Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

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...