Tomsk Polytechnic University and the National Research Center “Kurchatov Institute” will hold the first international Big Data School at the university. According to organizers, this is the first Big Data event behind the Urals – the school’s participants are leading researchers from Russia, Great Britain, USA and Italy. Everyone is welcome to attend thematic lectures and seminars. The school starts 8 December and ends 10 December 2016.
The international youth science school dedicated to distributed heterogeneous computing infrastructure brings together representatives from the University of Genoa (Italy), Brookhaven National Laboratory (USA), the National Research Center “Kurchatov Institute” (Russia), Rutgers University (USA), the University of Oklahoma, the University of Lancaster and the University of Arlington (USA) and Kaspersky Lab and Mail.ru Group as well.
“Big Data sparks growing interest across the globe.
Compared to the U.S. and Europe, there are rather few Big Data projects implemented in Russia. But they are in demand in the banking sector, oil & gas industry and telecommunications.
For instance, it is relevant for banks to collect the most diverse information on their clients to assess solvency and reliability: credit history, financial transactions and open personal data from the web and social media. All this enormous amount of data you need to collect, store and somehow analyze,” says deputy head of the Department of Computer Engineering Maxim Ivanov.
For three days everyone can see scientists’ presentations, open lectures and seminars. For instance, scientists will talk on applications for neuron networks in industrial cybersecurity, methods to search asteroids in near-Earth orbits, machine learning and Big Data operation at the Large Hadron Collider. Entrance to the school is free. Part of activities will be in Russian, another part – in English.
The Big Data School program
In addition, for schoolkids there will be a special workshop dedicated to Big Data mining. Tomsk Polytechnic University’s experts will clearly show features of Big Data processing and provide the children an opportunity to participate in the process.
Big Data is set of technologies that are designed to perform three operations. Firstly, to process large in comparison with “standard” scenarios data amounts. Secondly, to be able to work with large data which is becoming more and more. Thirdly, it should work with structured and poorly structured data simultaneously in different aspects.
An example for Big Data is information coming from a variety of physical experimental facilities – such as the Large Hadron Collider which produces a huge amount of data and makes it permanently. The reference’s source is postnauka.ru