PLEASANTON, Calif., Dec. 03 – YarcData, a Cray company dedicated to providing “Big Data” graph-analytic solutions to enterprise customers, today announced the six finalists for the YarcData Graph Analytics Challenge. The top six entries for the contest, which features $100,000 in prizes including a $70,000 grand prize for the first place winner, were determined to have entered the best submissions for un-partitionable, Big Data graph problems.

The top six submissions span a number of diverse categories, such as healthcare, law enforcement, sports, life sciences and social media. The six finalists for the $100,000 Graph Analytics Challenge have submitted entries that will attempt to:

• Model mortality in the 30 days following a heart attack so that patients at particular risk can be identified for special attention (Dr. Abraham Flaxman);
• Predict future crime based on structural, institutional, and demographic make-up of neighborhoods where crime occurs (Erik Celentano, Dr. Gary Shiffman, Dr. Danielle Sandler);
• Research more than 25 different types of cancers and thousands of patients to gain insight into the biological networks that are disrupted or altered within a given cancer type (Dr. Brady Bernard, Dr. Ilya Shmulevich, Andrea Eakin);
• Investigate causes of autism by understanding clusters of precursors (Dr. Adam Lugowski, Dr. John Gilbert, Dr. Kevin Deweese);
• Analyze pitcher-batter outcome data in baseball to determine if there is a relationship between a hitter’s performance against varying quality levels of pitching (Vince Genarro);
• Conduct large-scale social network analysis to determine the impact of team behavior/collaboration by using gaming data (Dominic DiFranzo, Bassem Makmi, Qingpeng Zhang).

Over the coming weeks, the six finalists will run their queries on YarcData’s uRiKA graph-analytics appliance. A panel of judges made up of Big Data industry analysts, experts on semantic technology, and YarcData customers will then evaluate the results of these top six submissions. The winning entries will then be chosen based on a set of criteria that includes the business and/or human impact, complexity, scalability and performance, and innovation. Winners will be announced in a live web event in February 2013.

“The quality and diversity of the many entries we received as part of the Graph Analytics Challenge is very exciting to us,” said Arvind Parthasarathi, president of YarcData. “This contest is about increasing awareness and interest in graph analytics, and it is encouraging to see that the Big Data community is embracing new ways to apply graph analytics towards solving complex problems with incredibly large data sets. We are very pleased with the response to this contest, and YarcData will continue to promote and support the use of graph analytics for the discovery of unknown relationships or patterns in Big Data. Thank you to everyone that entered the contest and good luck to the six finalists.”

YarcData is holding the Graph Analytics Challenge to showcase the increasing applicability and adoption of graph analytics in solving Big Data problems. The contest is also 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. The grand prize for the first place winner is $70,000. The second place winner will receive $13,000 and the third place winner will receive $8,000. There will also be prizes for the other finalists.

For more information on the contest, please visit: http://yarcdata.com/graph-analytic-challenge.html.

About the uRiKA Graph-Analytics Appliance

YarcData’s uRiKA system is a Big Data appliance for graph analytics that enables enterprises to discover unknown relationships in Big Data. The uRiKA system is a highly scalable, real-time platform that supports ad hoc queries, pattern-based searches, inferencing and deduction. Singularly focused on graph analytics, uRiKA augments existing analytical environments by delivering new high-value discoveries and insights that drive competitive advantage.

About YarcData

YarcData, a Cray company, delivers business-focused real-time graph analytics for enterprises to gain business insight by discovering unknown relationships in Big Data. Early adopters include the Canadian government, Institute for Systems Biology, Mayo Clinic, Noblis, Sandia National Laboratories, and the United States government. 

About Cray Inc.

As a global leader in supercomputing, Cray provides highly advanced supercomputers and world-class services and support to government, industry and academia. Cray technology is designed to enable scientists and engineers to achieve remarkable breakthroughs by accelerating performance, improving efficiency and extending the capabilities of their most demanding applications. Cray’s Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to surpass today’s limitations and meeting the market’s continued demand for realized performance.

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Source: YarcData