Week5-discussion-data science & big data analy

Week5-discussion-data science & big data analy

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Course: Data Science & Big Data Analy
LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.
Due Date – 1 day
Discussion Question:    Blockchain    
This week’s discussion centers around the concept of Blockchain.  There  is still much confusion regarding what Blockchain is and what it is  not.  Please discuss your explanation of Blockchain to include why it  has been gaining so much popularity. 

Prof. Guidelines 

Provide extensive additional information on the topic
Explain, define, or analyze the topic in detail
Share an applicable personal experience
Provide an outside source (for example, an article from the     University Library) that applies to the topic, along with additional     information about the topic or the source (please cite properly in   APA)
At least one scholarly source should be used in the initial     discussion thread. Be sure to use information from your readings and     other sources from the UC Library. Use proper citations and  references    in your post.

Reading Assignments 
WALDO, J. (2019). A Hitchhiker’s Guide to the Blockchain Universe. Communications of the ACM, 62(3), 38–42. https://doi.org/10.1145/3303868 
PAVLUS, J. (2018). The World Bitcoin Created. Scientific American, 318(1), 32–37. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=buh&AN=126727561&site=eds-live

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

“APA 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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