February 29 - March 2, 2012
Montreal, Canada

High traffic website search with Apache Solr

Companies often wrestle with how to implement site search on a website. Many times, this feature is very critical to the success of the website. Users, who are accustomed to superb search results from search engines such as Google, expect the same level of relevancy, speed and accuracy in any search result. Apache Solr provides an excellent match to many of the most common site search requirements. This talk will focus on how Solr would fit these site search tool requirements. Apache Solr, an open source, Lucene Java-based search server that can be easily incorporated into Web applications. Solr offers faceted searching, hit highlighting, and support for multiple output formats, including XML/XSLT and JSON. It is easy to install and configure and comes with an HTTP-based administration interface.

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Satish Tallapaka


Satish is a hands-on technologist with 15 years of progressive experience in managing large-scale implementations. Well-versed in the digital technology landscape, he has both breadth and depth of knowledge in various technologies and methodologies. His expertise includes spearheading the transformation of many legacy systems into scalable, modern web based systems and building multi-channel interactive experiences spanning web, mobile and retail storefronts.

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