A review on bigdata theoretical and application approach: Past and present

Abstract

Machines that stores and process data had been in the works for a long time, as the volume of data increased so did the capacity of the machines to handle those data. The notion of big data came into light during the early days of internet when machines not only store and process data but also generate a huge volume of information too. We stared to get very large volumes of dataset beyond the capacity of a single machine to store and process, such data were referred as big data. As the era of internet progressed and people stated to use social media and mobile devices different types of data set started to generate at a very high velocity which could not be handled by conventional computing techniques. Today distributed and parallel processing techniques are widely used to process this type of data sets. In the future personal and sensor data generation is expected to increase exponentially and similarly the need for real time information to cater such needs not only the machines but the computation techniques must be further improved.