Gartner define Big Data as “high-volume, velocity and variety information assets that demand cost effective, innovative forms of information processing for enhanced insight and decision making”. A recent report by IDC estimated the current big data market value at $16.1 billion, growing 6 times faster than the overall IT market.
An ever growing 'info-glut' of media images, videos, audio, flash, live streams and podcasts, time series and activity steams, GIS data, semantic web, government data, social content and other forms of structured and unstructured data have given rise to a new generation of data technologies that are gathering momentum through the Open Data and Open Access movements.
Big Data has fuelled a renewed interest in the organisation, access and archiving of data that is characterised by co-production of information involving a range of institutions and publics. There are particular challenges and opportunities afforded to researchers through the widespread adoption and enthusiastic take up of ‘Big Data’ leading to the emerging fields of data science and cognitive computing.
Durham University is an active player in the Big Data arena at two different levels:
- Data infrastructures
Our research agenda targets enabling technologies and system level challenges related to the capture, storage, accessing and processing of data on infrastructures that are highly autonomic, adaptive, elastic, resilient, cost-effective, energy-efficient, responsive and scalable.