DDD Suribabu and K. Venkanna Naidu
DNR College of Engineering and Technology, India

Big Data has gained much interest from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that quickly exceeds the boundary range. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. Conversely, the fast growth rate of such large data generates copious challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Even so, Big Data is still in its early stage, and the domain has not been reviewed in general. Hence, this study expansively surveys and classifies an assortment of attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes adata life cycle that uses the technologies and terminologies of Big Data. Map/Reduce is a programming model for efficient distributed computing. It works well with semi-structured and unstructured data. Asimple model but good for a lot of applications like Log processing and Web index building.

Big Data, HBase, Hadoop, MapReduce, Heterogeneity