DocumentCode :
3729186
Title :
A survey on Big Data storage strategies
Author :
Gazal;Pankaj Deep Kaur
Author_Institution :
Dept. of Comput. Sci., Guru Nanak Dev Univ. Regional Campus, Jalandhar, India
fYear :
2015
Firstpage :
280
Lastpage :
284
Abstract :
Over the last decade the enterprises across public and personal entities have made strategic determination to change big data into useful advantage. Big data used to describe the large and complex set of both structured and unstructured data range in the size of exabytes (1016) and quintillions. Such amount of data surpassed the potential of present online storage systems and computing systems. Big data is being produced at alarming rate which is driven by individuals and their increased used of media, organizations, the switch from analogue to digital technologies, the expansion of internet connected devices and systems. Such the swelling of big data will approach the zettabyte per year range with in a little time period. The one major characteristic of big data is volume; other characteristics are velocity and variety. The storage issue seems to be easily handled in the recent session but shows a tedious session challenges. Big Data technologies explains the new batch of storage technologies and new framework proposed to monetarily extricate the useful information from the huge amount of unstructured data.
Keywords :
"Communication cables","Manifolds","Prediction algorithms"
Publisher :
ieee
Conference_Titel :
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICGCIoT.2015.7380473
Filename :
7380473
Link To Document :
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