Big data

What is considered "Big data" 
Big data is a blanket term for any collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.
 Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process the data within a tolerable elapsed time. Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead "massively parallel software running on tens, hundreds, or even thousands of servers". What is considered "big data" varies depending on the capabilities of the organization managing the set, and on the capabilities of the applications that are traditionally used to process and analyze the data set in its domain.

The problem of Big data
 The problem of big data is invasion of privacy and security. Big data is set of so many information of individual. It can be "Big Brother" which is collecting and managing "private" information. When the data spilled, In the wrong hands information about individuals can easily be abused. This is dangerous problem Because leaked data is not somebody's data but "everybody's" data.
 Big data in today's society is received peculiar attention of the intellectual. When we think Big data, We must consider the issue more ethically.