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WEEK3-ResearchPaper-Data Science & Big Data Analysis

WEEK3-ResearchPaper-Data Science & Big Data Analysis

Course: Data Science & Big Data Analysis

LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.

Due Date “ 2 days

Discussion Question:  Big Data and Business Intelligence  
This week’s article provided a case study approach which highlights how  businesses have integrated Big Data Analytics with their  Business Intelligence to gain dominance within their respective  industry.  Search the UC Library and/or Google Scholar for a “Fortune  1000” company that has been successful in this integration. Discuss the  company, its approach to big data analytics with business  intelligence, what they are doing right, what they are doing wrong, and  how they can improve to be more successful in the implementation and  maintenance of big data analytics with business intelligence. 

Prof. Guidelines 
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.

Reading Assignments 
Big Data Visualization: Allotting by R and Python with GUI Tools. (2018). 2018  International Conference on Smart Computing and Electronic Enterprise  (ICSCEE), Smart Computing and Electronic Enterprise (ICSCEE), 1. https://doi.org/10.1109/ICSCEE.2018.8538413 
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability 2018, 10(10), 3778; https://doi.org/10.3390/su10103778

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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