No Plagiarism and no grammar mistakes with a minimum of 2 pages of content
The course is Big data Analysis and role i work is Software Development Engineer in Test at Sams club.
At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own careers.
Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.
Requirements:
Provide a 500 word (or 2 pages double spaced) minimum reflection.
Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
Share a personal connection that identifies specific knowledge and theories from this course.
Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.
You should not provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.
University of the Cumberlands
School of Computer and Information Sciences
Big Data analytics, Data Science and Blockchain
Residency Paper – Group Paper for Group-1 – 350 Points
Your team will select a big data analytics project that is introduced to an organization of your choice, in the retail industry. Please address the following items:
(a) Summarize Big data concepts that are relevant to this paper (10 – 12 lines)
(b) Provide a background of the company chosen (need to be descriptive)
(c) Determine the problems or opportunities that that this project will solve. What is the value of the project? Why is this project important to the company?
(d) Describe the impact of the problem. In other words, is the organization suffering financial losses? Are there opportunities that are not exploited?
(e) Provide a clear description regarding the metrics your team will use to measure performance of the analytics project. Please include a discussion pertaining to the key performance indicators (KPIs).
(f) Recommend a big data tool that will help you solve your problem or exploit the opportunity, such as Hadoop, Cloudera, MongoDB, or Hive. Justify the tool.
(g) Evaluate the data requirements. Here are questions to consider: What type of data is needed? Where can you find the data? How can the data be collected? How can you verify the integrity of the data? How will you reduce noise in your data?
(h) Discuss the gaps that you will need to bridge. Will you need help from vendors to do this work? Is it necessary to secure the services of other subject matter experts (SMEs)?
(i) What type of project management approach will you use this initiative? Agile? Waterfall? Hybrid? Please provide a justification for the selected approach and argue it’s suitability to a Big data implementation.
(j) Provide an introduction, summary and conclusion.
(k) Your written paper must have at least 8 to 10 reputable sources and 10-to-15-pages.
(l) Please write the paper in APA Style; please make it very structured.
(m) Use Grammarly to correct Grammatical errors.
Here are your three (3) deliverables:
· Friday (02/12) – Outline: Provide an outline of the work to be performed. You can submit in MS Word or PPT. Please make sure to include company name, background, big data concepts, and how the work will be divided with the names of team members. You may start on the written paper.
· Saturday (02/13) – Written Paper: The requirements for the written paper are provided above. Please note that each team member must have a deliverable. Please ensure that you avoid any plagiarism issues. Include name of team member and Student ID for the section they completed.
· Sunday (02/14) – Upload every team member’s deliverable into the respective Group folder.
Any additional information needed; we can have a group Collaborate session.
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