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PLEASANTON, CA and SAN FRANCISCO, CA--(Marketwire - Jun 5, 2012) -
YarcData, a Cray company, has announced the planned launch of a
"Big Data" contest
featuring $100,000 in prizes. The YarcData Graph Analytics Challenge will recognize the best submissions for solutions of un-partitionable, Big Data graph problems.
YarcData is holding the contest to showcase the increasing applicability and adoption of graph analytics in solving Big Data problems. The contest also is intended to promote the use and development of RDF and SPARQL (both standards developed by the World Wide Web Consortium) as the industry standard for graph analytics.
"Graph databases have a significant role to play in analytic environments, and they can solve problems like relationship discovery that other traditional technologies do not handle easily," said Philip Howard, Research Director, Bloor Research. "YarcData driving thought leadership in this area will be positive for the overall graph database market, and this contest could help expand the use of RDF and SPARQL as valuable tools for solving Big Data problems."
The YarcData Graph Analytics Challenge will officially begin on Tuesday, June 26, 2012, and winners will be announced during a live Web event on December 4, 2012. Full contest details, including specific criteria and the contest judges, will be announced on June 26. To pre-register for a contest information packet, please visit the YarcData website at www.yarcdata.com.
About the uRiKA Graph Analytics Appliance
YarcData's uRiKA system is a Big Data appliance for graph analytics. uRiKA helps enterprises reveal unknown, unexpected or hidden relationships in Big Data by creating a highly-scalable, real-time graph analytics warehouse that supports ad hoc queries, pattern-based searches, inferencing and deduction. The uRiKA system is a purpose-built appliance for graph analytics featuring graph-optimized hardware that provides up to 512 terabytes of global shared memory, massively-multithreaded graph processors supporting 128 threads/processor, and highly scalable I/O with data ingest rates of up to 350 terabytes per hour.
Learn more and participate at
yarcdata.com/graph-analytic-challenge.html
Read more.