Culminating Project Title

Processing Big Data Using Secure HDFS

Date of Award

5-2016

Culminating Project Type

Starred Paper

Degree Name

Engineering: M.E.M

Department

Mechanical and Manufacturing Engineering

College

College of Science and Engineering

First Advisor

Hiral Shah

Second Advisor

Ben Baliga

Third Advisor

Balasubramanian Kasi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

The main objective of this project was to collect the data and provide a solution to the problems faced by a huge organization, which holds the data of many diverse fields. The challenge here was to understand Hadoop and its key features for successful implementation of a Hadoop platform. Users and clients evaluate or analyze the functioning and progress of it. By applying DAIMC methodology, which supports a rapid, iterative development style and better result driven. The team focused on the decision driven as well as data driven. The team also concentrated on the necessities of the decisions to be made, rather than enclosing all existing data. While following this, organization totally relied on agile development and business opportunity management for a successful implementation.

Comments/Acknowledgements

Foremost, I would like to convey my honest gratitude to my mentors Dr. Hiral Shah, Dr. Ben Baliga, and Prof. Gary Nierengarten for their continuous and tremendous support of my Master’s study at Saint Cloud State University, for all their patience, inspiration, and enormous knowledge. And also Dr. Balsy Kasi for his time invested in this project review and support. Finally, I would honestly thank my parents, family and friends, who provided the advice and financial support. The project would not have been a possible thing without all of them. I’m very thankful to the department of Engineering Management and Saint Cloud State University for providing the resources.

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