Week2-discussion2-data science & big data analy

Course: Data Science & Big Data Analy

LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.

Due Date – 1 day

Discussion Question:  Big Data Analytics  

There are several benefits as well as challenges associated with the  use of Big Data Analytics in the e-Healthcare industry. Pick one of the  four concepts below and then identify the benefits and challenges  associated with that concept. Do not simply list the benefits and  challenges but detail them in a substantive, thorough post as it relates  to that concept in the e-healthcare industry.

  • Data Gathering
  • Storage and Integration
  • Data Analysis
  • Knowledge Discovery and Information Interpretation

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.

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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