Culminating Project Title
Date of Award
Culminating Project Type
Information Assurance: M.S.
Information Assurance and Information Systems
Herberger School of Business
Mark B. Schmidt
Lynn A. Collen
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Due to growing development of advanced technology, data is produced in an increasing rate and dumped without analyzing it. Data sets are coming in large quantities through many mediums like, Networking sites, Stock exchanges, Airplane’s black boxes etc. People who used to have 44 kb small floppy disk in the past are not happy with 1 TB external hard-drives nowadays. Big companies who are forced to add more servers in order to maintain the velocity of the incoming large data sets, are still looking for an easy way to control, handle big data. Traditional methods of handling big data are causing a variety of issues such as slow system performance, and lack of scalability. This research paper explores through the alternative method of handling big data which can address issues of the traditional methods. The goal of this research paper is to highlight an importance of a new method that can replace the traditional method of handling big data. This paper mainly consists of analyzed past work done by several fellow researchers. The outcomes of this paper will be useful for students and researchers alike who would like to work in the field of big data.
Pariyar, Sudip, "Analyzing Big Data Using Hadoop" (2017). Culminating Projects in Information Assurance. 41.