A Literature Survey on Big Data
This article explores the various tools and technologies currently being leveraged (like Hadoop, which is useful for developing applications that can perform absolute statistical analysis on vast quantities of data) and the issues faced when using them (heterogeneity and timeliness, security, incompleteness and scalability of the data are the biggest obstacles when analyzing big data). What are some additional areas where big data utilization can grow? What needs to improve? What other technologies do you envision being used in collaboration with big data in the future, and in what ways?
6. Conclusion
In this literature survey, we have discussed Big Data in detail until its existing state. It elaborates on the concepts of big data followed by the technologies and methodology used in this field. In this paper we have also discussed regarding the obstacles faced by it and also about the applications. Lastly we have discussed topic related to future facilities which can be harnessed in big data. Big data is a progressing field, and alot of research is however to be done. Currently, Hadoop is the software that handles the big data. Neverthless, the invariable growth in volumes of data is making Hadoop inadequate. In future, extensive research needs to be carried out and also revolutionary technologies need to be developed to tackle the potential of big data completely.