Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, adramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, largescale data has become a big issue and hence the term ‘big data’ appeared.
There is no official agreement in quantitative and detailed definition of the ‘big data’, but the meaning isexpanding to its value and efficacy. Big data not only has the standardized personal information (internal) likecustomer information, but also has complex data of external, atypical, social, and real time data.
Big data’s technology has the concept that covers wide range technology, including ‘data achievement,save/manage, analysis, and application’. To define the connected technology of ‘big data’, there are Big Table,Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining,Social Network Analysis, Cluster Analysis are gaining attention.
The three features that ‘bid data’ needs to have is about creating large amounts of individual elements(high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, andvelocity, which is called the ‘3V’. There is increase in complexity as the 4th feature, and as all 4features aresatisfied, it becomes more suitable to a ‘big data’.
In this study, we have looked at various reasons why companies need to impose ‘big data’, ways ofapplication, and advanced cases of domestic and foreign applications. To correspond effectively to ‘big data’revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight ofunfolding and preparing future business by considering the unpredictable market of technology, industryenvironment, and flow of social demand is desperately needed.