 ZettaVox Follow developments on Twitter: @zettavox. Watch the following video presentation to learn more about this remarkable product:
 Massive-scale text and content analysis requires massive clusters of computing resources. Utility computing through clouds and cluster-based solutions have matured to the point that terabyte and larger computing tasks can be effectively distributed across farms of processors to reduce analysis times to mere minutes. Until now, however, the software solutions needed to effect these computing tasks have been custom jobs cobbled together from open source toolkits. ZettaVox is an enterprise-ready workflow management system for cluster and cloud-scale computing tasks that involve content mining. ZettaVox abstracts away the complexities of Hadoop, map reduce and other technical aspects of massive-scale computing and instead focuses on workflow pipelines for achieving specific analysis and data mining results. Point-and-click to organize analysis tasks and route the results through filters and on to traditional RDBMS storage. Probe terabytes in seconds and petabytes in minutes for the vaunted needle in the haystack. Apply language extraction jobs to internet-scale crawls and aggregate the results for visual inspection in minutes. Applications of ZettaVox include advertising analysis, protecting intellectual property, search engine development, customer behavior analysis, discussion group analysis, business intelligence needs, link analysis and related massive-scale content analysis. Customized analysis modules are currently under development for exploiting parallelism in specialized GPU supercomputing solutions. As of October 15th, 2009, ZettaVox is available for test deployments. Please contact us to learn how ZettaVox can help your organization. Also, inquire about screencasts of ZettaVox in action and our whitepaper, Cloud-Scale Data and the Modern Enterprise, that describes how ZettaVox can bring order out of chaos for the knowledge driven enterprise UPDATE 1/29/2010: ZettaVox moves to Beta 1.2, improving integration of Hadoop 0.20.1 capabilities, Amazon S3 support and new machine-learning based biological named entity extraction.
 
|
