WEEK7-Final Portfolio Project-Data Science & Big Data Analy

Course: Data Science & Big Data Analy

LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.

Due Date – 1 day

Final Portfolio Project:

The Final Portfolio Project is a comprehensive assessment of what you have learned during this course.

There are several emerging concepts that are using Big Data and Blockchain Technology. Please search the internet and highlight 5 emerging concepts that are exploring the use of Blockchain and Big Data.

Conclude your paper with a detailed conclusion section.

The paper needs to be approximately 6-8 pages long, including both a title page and a references page (for a total of 8-10 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.

Prof. Guidelines

Your paper should meet these requirements:

Be approximately six to eight pages in length, not including the required cover page and reference page.
Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Reading Assignments
X. Li, X. Wu, X. Pei and Z. Yao, “Tokenization: Open Asset Protocol on Blockchain,” 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), Kahului, HI, USA, 2019, pp. 204-209. doi: 10.1109/INFOCT.2019.8711021 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8711021&isnumber=8710850

S. Sayadi, S. Ben Rejeb and Z. Choukair, “Blockchain Challenges and Security Schemes: A Survey,” 2018 Seventh International Conference on Communications and Networking (ComNet), Hammamet, Tunisia, 2018, pp. 1-7. doi: 10.1109/COMNET.2018.8621944 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8621944&isnumber=8621920

A. Ali, S. Latif, J. Qadir, S. Kanhere, J. Singh, “Blockchain and the Furture of the Internet: A Comprehensive Review”, arxiv.org, https://arxiv.org/pdf/1904.00733v1.pdf?Books and

Resources Required Text

Eyupoglu, C. (2019). Big Data in Cloud Computing and Internet of Things. 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019 3rd International Symposium On, 1–5. https://doi.org/10.1109/ISMSIT.2019.8932815

L. Zhao, Y. Huang, Y. Wang and J. Liu, “Analysis on the Demand of Top Talent Introduction in Big Data and Cloud Computing Field in China Based on 3-F Method,” 2017 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, 2017, pp. 1-3. https://doi.org/10.23919/PICMET.2017.8125463

Saiki, S., Fukuyasu, N., Ichikawa, K., Kanda, T., Nakamura, M., Matsumoto, S., Yoshida, S., & Kusumoto, S. (2018). A Study of Practical Education Program on AI, Big Data, and Cloud Computing through Development of Automatic Ordering System. 2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), Big Data, Cloud Computing, Data Science & Engineering (BCD), 2018 IEEE International Conference on, BCD, 31–36. https://doi.org/10.1109/BCD2018.2018.00013

Psomakelis, E., Aisopos, F., Litke, A., Tserpes, K., Kardara, M., & Campo, P. M. (2016). Big IoT and social networking data for smart cities: Algorithmic improvements on Big Data Analysis in the context of RADICAL city applications.

Liao, C.-H., & Chen, M.-Y. (2019). Building social computing system in big data: From the perspective of social network analysis. Computers in Human Behavior, 101, 457–465. https://doi.org/10.1016/j.chb.2018.09.040

“APA7 Format”

https://academicwriter.apa.org/6/

“NO PLAGIARISM”

Plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material.


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