AMSTERDAM, April 21, 2015 /PRNewswire/ -- Teradata Corporation (NYSE: TDC), the big data analytics and marketing applications company and the Ural Federal University (URFU) in Russia today announced that the delivery and deployment of the Teradata Aster Big Analytics Appliance 3H, an innovative platform for big data analytics and discovery, have been completed to enable the work of the Russian Federation's very first -- and so far only -- university chair in big data.
The successful implementation marks an important milestone of the ongoing cooperation between one of the largest Russian universities and the renowned leader in big data analytics.
Damir Gainanov, Head of the Chair for Big Data Analysis and Methodology at URFU, said: "Establishing a university chair centered on big data research with federal government support was an important step for making analytics an integral part of the research for key branches of the Russian economy. With the analytics capabilities of Teradata Aster, we will be able to derive insights from data and come up with concepts to help advance the competitiveness of numerous key industries."
Established in 2013, the URFU Big Data Chair is mainly centered on data mining and big data analytics concepts in crucial economic sectors such as metallurgical engineering (optimization of technological production processes), and railroad transportation (innovative modeling and optimization of transportation processes). Scientists and academics of the chair have since been working on projects supporting targeted federal programs sponsored by the Ministry of Education and Science of the Russian Federation. Mathematical methods utilized in these projects include deep data mining, graph optimization algorithms, and video analytics, including digital image processing.
Teradata's technical ability to accommodate this wide variety of analytical requirements is what prompted URFU to select the Teradata Aster Discovery platform. The Teradata Aster Appliance solution includes the Aster Database, the Aster File Store, Hadoop modules and SQL-MapReduce® functionality. This makes it possible for URFU to run complex graph, machine learning, pattern or path analysis on all types of multi-structured raw data.
Teradata's Aster Discovery Platform is delivered as an out-of-the-box solution, set up and ready to use. With such an extensive and robust solution, the researchers of URFU are expected to achieve new levels of excellence for research in traditional fields and drive scientific progress together with their industrial partners.
Andrey Alekseenko, Country Manager, Teradata Russia adds, "We are honored to provide the technical platform and services to help the Big Data Chair of URFU successfully embark on its important mission. URFU's choice of Teradata Aster was a strong sign of trust in our capabilities, and we delivered."
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