BIG DATA ANALYTICS: 4A’s

Basically, data process is seen to be gathering, processing and management of data for giving output of “new” information for end users [2]. Over time, key challenges are related to mining, storage, transportation and processing of high throughput data. It is different from Big Data challenges to which we have to add Volume, Velocity, Value, Veracity, variety, Visualization and Variability [4]. Consequently, these requirements imply an additional step where data are cleaned, tagged, classified and formatted. Big Data analysis currently splits into four steps: Acquisition or Access, Assembly or Organization, Analyze and Action or Decision. Thus, these steps are mentioned as the “4 A's”