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Kitenga's ZettaVox and ZettaSearch products support SOLR and Lucene ecosystems at both the ingestion point and for the search user. In this talk, I will show how ZettaVox, our professional content mining platform on Hadoop, can be used to index content and rich metadata into a LucidWorks Enterprise installation. Being built on Hadoop, ZettaVox scales up by scaling out. I will then create an end-user search and analytics experience using our ZettaSearch solution that leverages the faceted metadata to enhance information discovery and analysis. All in about 20 minutes.
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Kitenga reinventing information
Mark Davis Founder/CTO
Advanced Search and Analytics
in 20 minutes
Scalable Big Data
Analytics
Advanced Search
Built on an open source foundation
Conquer “Big Data”
Overcome information overload
Transform data into actionable intelligence
Find the needle in the haystack
Big Data
Enormous transactional data Enormous unstructured information Too big for databases New tools are needed
Get Document
Extract Information Index
¡ Scalable ¡ Fault-‐tolerant ¡ Network/rack aware
¡ Parallel programming model: MapReduce
¡ Cottage industry ¡ Complex MapReduce model
¡ Stability ¡ Command-‐line tools
The voice of Big Data
Out of the box
MapReduce components for content mining
Reduce time-‐to-‐action
Integrated visualization
and analytics
ZettaVox
Faceted search for complex metadata
Analytics and search
together
Revolutionize enterprise search
Built on open source
success
ZettaSearch
START THE TIMER
Advanced Search and Analytics
in 20 minutes
DID IT WORK?
Advanced Search and Analytics
in 20 minutes
ZettaVox 1.4 ¡ Drag-‐and-‐drop Hadoop analysis ¡ Natural Language Processing ¡ Cluster monitoring ¡ HDFS-‐aware analysis tools ¡ Integrated information visualization
ZettaSearch 1.0 ¡ JSP Custom Taglib search designer ¡ Charts and tools tied to metadata ¡ Available for free (soon)
ZettaSearch 2.0 ¡ Drag-‐and-‐drop user search designer ¡ Personalization ¡ Rich visualization options
Questions?
