Week7-final portfolio project-data science & big data analy

Category: Information System

Course: Data Science & Big Data Analy


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” 



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

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