A SURVEY ON BIG DATA PROCESSING: TECHNIQUES, ISSUES AND CHALLENGES

Big data as the name suggest is a huge voluminous amount of data whose size go beyond terabytes or even more. The characteristics of big data are associated with 5 V’s which are volume, velocity, variety, veracity and value. Various research regarding the unstructured data, heterogeneity and incompleteness of the data has been selected in order to show the transmission of unstructured data to structured data and also the research related to the 5 V’s of big data have been reviewed to put more depth on the features and structures of big data. Big data faces two types of challenges-one being the practical and the other being the theoretical challenges. In this paper, the existing techniques related to the processing of huge amount of data are reviewed. This survey also discusses the research gaps related to the big data processing which needs to be addressed by the researchers.