Publication Date
2019
Document Type
Dissertation/Thesis
First Advisor
Papka, Michael E.
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Computer Science
Abstract
Big data analytics require the use of different sets of tools and technologies. This thesis categorizes big data analytics in three areas: storage, processing, and visualization and provides discussions of available tools and technologies for each area. It also provides a hands-on review of available tools and review of relevant research papers for such tools and technologies. The goal of this thesis is to summarize and organize current big data tools and technologies by surveying recent research papers, provide a synthesis and discuss observation current issues and future trends.
Recommended Citation
Kanti Roy, Mrinal, "A Survey of Big Data tools and Technologies" (2019). Graduate Research Theses & Dissertations. 7243.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/7243
Extent
55 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
