Analysis and Classification for Big Data Computing Techniques: A Retrospective Study
Shriya Kumari, K. Srujan Raju, P. Satyavathi · 2016
Big data, defined as a massive dataset based of the five V's volume, velocity, variety, veracity and value[1].The world is connecting and producing a huge amount of data from applications like social media, e commerce, internet, sensors, health care, informatics, net banking etc.There are few major challenges of these datasets: data collection, data analysis, data enrichment, data distribution, data security and privacy.These datasets play a vital role in any of the application areas.There are various tools and techniques which are developed to manage Big data.There are mainly two processing techniques to process these datasets: Batch processing and Non batch processing.Different application areas use different tools and techniques depending upon the efficiency and capability of managing different forms of data produced by them.In this paper we have suggested some of the efficient tools and techniques for managing the data produced by a particular application area by analyzing and comparing all the possible techniques to manage Big data.