Crowd Sourcing Reflected Intelligence Using Search and Big Data

Hadoop is a framework purpose-built for capturing, organizing, storing, and analyzing data from multiple sources. Anyone interested in drawing insights from their Big Data repository/project/application should view this informative webinar brought to you by MapR and LucidWorks. LucidWorks Search is a development platform that accelerates and simplifies building highly secure, scalable, and cost-effective search applications.

This webinar shows:

  • how search users' search behavior can be mined
  • how big data analytics can be applied to that raw data
  • how to redeploy that data back to the users to improve their experience

Experts from MapR and Lucidworks will show the strengths of combining the easiest, most dependable and fastest distribution for Hadoop with the real-time, ad hoc data accessibility of LucidWorks Search to provide analytic capabilities along with scalable machine learning algorithms for deeper insight into both content and user behavior.

Featured Presenters

Grant Ingersoll - LucidWorks Chief Scientist

Grant is a co-founder of LucidWorks as well as an active member of the Lucene community – a Lucene and Solr committer, co-founder of the Apache Mahout machine learning project and a long standing member of the Apache Software Foundation. Grant’s prior experience includes work at the Center for Natural Language Processing at Syracuse University in natural language processing and information retrieval. Grant earned his B.S. from Amherst College in Math and Computer Science and his M.S. in Computer Science from Syracuse University. Grant is also the co-author of the upcoming "Taming Text" from Manning Publications.

Ted Dunning - MapR Chief Application Architect

Ted has been involved with a number of startups with the latest being MapR Technologies where he is Chief Application Architect working on advanced Hadoop-related technologies. He is also a PMC member for the Apache Zookeeper and Mahout projects. Opinionated about software and data-mining and passionate about open source, he is an active participant of Hadoop and related communities and loves helping projects get going with new technologies.

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Webinar Date: December 13, 2012

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