2023 Course Data Science Big Data Analy LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF Due
Course: Data Science & Big Data Analy
LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.
Due Date – 1 day
Discussion Question: Big Data Analytics
The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.
For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.
Your paper should meet these requirements:
- Be approximately four to six 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.
AYANI, S., MOULAEI, K., DARWISH KHANEHSARI, S., JAHANBAKHSH, M., & SADEGHI, F. (2019). A Systematic Review of Big Data Potential to Make Synergies between Sciences for Achieving Sustainable Health: Challenges and Solutions. Applied Medical Informatics, 41(2), 53–64. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=a9h&AN=138949499&site=eds-live
Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2019). Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies. https://doi.org/10.1080/17517575.2019.1633689
Dash, S., Shakyawar, S.K., Sharma, M., Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data 6, 54. http://doi.org/10.1186/s40537-019-0217-0
Books and Resources
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
Plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material.
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