Title :
Big Data: Issues and Challenges Moving Forward
Author :
Kaisler, S. ; Armour, Frank ; Espinosa, Juan Antonio ; Money, W.
Abstract :
Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes exceed the capacity of current on-line storage systems and processing systems. Data, information, and knowledge are being created and collected at a rate that is rapidly approaching the exabyte/year range. But, its creation and aggregation are accelerating and will approach the zettabyte/year range within a few years. Volume is only one aspect of big data; other attributes are variety, velocity, value, and complexity. Storage and data transport are technology issues, which seem to be solvable in the near-term, but represent longterm challenges that require research and new paradigms. We analyze the issues and challenges as we begin a collaborative research program into methodologies for big data analysis and design.
Keywords :
data analysis; big data; collaborative research program; data analysis; data transport; data volumes; online storage systems; Data handling; Data storage systems; Distributed databases; Information management; Media; Organizations;
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, Maui, HI
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2013.645