SECURITY,PRIVACY ISSUES IN BIG DATA

Abstract

Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast ,or doesnt fit the structures of your database architectures gain value from this data ,you must choose an alternative way to process it.The hot IT buzzword of 2012,big data has become viable as cost-effective approaches have emerged to same the volume ,velocity and variability of massive data.within this data lie     valuable     patterns     and     information,previously hidden because of the amount of work required to extract them.The big data is an emerging area applied  to manage datasets whose size is beyond the ability of commonly used software tools to capture ,manage ,and timely analyze that amount of data  . The Big Data is an emerging area applied to manage datasets whose size is beyond the ability of commonly used software tools to capture, manage, and timely analyze that amount of data. The quantity of data to be analyzed is expected  to  double  every  two  years  (IDC,2012).    All    these    data    are    very    often unstructured and from various sources such as social  media, sensors,  scientific  applications, surveillance, video and image archives,Internet search indexing, medical records, business transactions and system logs. Big data is gaining more and more attention since the number of devices connected to the so-called Internet of Things (IoT) is still increasing to unforeseen levels, producing large amounts of data  which  needs  to  be  transformed  into valuable information. Additionally, it is very popular to buy on-demand additional computing power and storage from public cloud providers to perform intensive data- parallel processing. In this way, security and privacy issues can be potentially boosted by the  volume,  variety,  and  wide  area deployment of the system infrastructure to support Big Data applications.