ENHANCED BIG DATA CLASSIFICATION SUSHISEN ALGORITHMS TECHNIQUES IN HADOOP CLUSTER (META)

Assemblage of large and complex datasets are generally called Big Data. These large datasets cannot be stored, managed or analyzed easily by the current tools and methodologies because of their large size and complexity. However, such datasets provide various opportunities like modelling or predicting model the future. This overwhelming growth of data is now coupled with various new challenges. Increase in data at a massive rate has resulted in most exciting opportunities for researchers in the upcoming years. In this paper, we discuss about the topic in detail sushisen algorithms in HEPMASS dataset, its current scenario, characteristics and challenges to forecast the future. This paper discusses about the tools and technologies used to manage these large datasets and also some of the problems and essential issues such as security management and privacy of data.