Real Time Analytic Processing (RTAP) in this modern world is inducing huge data traffic by everyone knowingly or unknowingly compared to few years back data traffic where only few companies was source of data traffic. This is really a challenge to the technology and needs a solution which can be implemented at the earliest and with an ease. This paper tries to discuss about the solution for handling the big-data traffic without downgrading the processing time. However, the analysis of big data can be troublesome because of its heterogeneous nature i.e. big-data often involves the collection and storage of mixed data based on different patterns or rules.