Anyone interested in drawing insights from their Big Data repository/project/application should attend 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 will show:
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.
We're looking forward to having you join us.
Date: December 13, 2012
Time: 10:00 am PT / 1:00 pm ET
Speakers: Grant Ingersoll, Chief Scientist for LucidWorks and Ted Dunning, Chief Application Architect for MapR
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.
Complete the form below to register for the webinar.