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John Esposito curates content at DZone, while writing a dissertation on ancient Greek philosophy and raising two cats. In a previous life he was a database developer and network administrator. John is a DZone Zone Leader and has posted 271 posts at DZone. View Full User Profile

Hadoop Use Case: A Scalable Vertical Search Engine

January 27, 2012 AT 10:06 AM
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This search technology content is part of the Solr-Lucene Microzone, supported by Lucid Imagination, a company of Solr/Lucene all-stars that provides free distributions, training, and a search application development platform called LucidWorks Enterprise.

Recommended Links

Programmers Guide_Full-Text Search Over RDBMS Data

Starting a Search Application

Getting Started With LucidWorks Enterprise

Search Readiness Checklist-Moving to Solr

The 7 Deadly Sins of Solr

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In this slidehow, Iván de Prado explains in some detail why you might want to consider building a scalable vertical search engine with Hadoop, showing when to use and when to avoid both simpler and more complex solutions.

 

Scalable vertical search engine with hadoop
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This content on search technology is part of the Solr-Lucene Microzone, supported by Lucid Imagination. They can help you harness the full potential of search through their enterprise Solr development platform—LucidWorks Enterprise—which can make your production process simpler and more cost-efficient with open source configurability.