Competency
In this project, you will demonstrate your mastery of the following competencies:
- Explain the concepts of cloud-based architectures
- Differentiate between the functions of big data technologies
Scenario
Your organization has recently acquired another company that collects and stores a very large amount of consumer data that will be of value to your organization. As a result of this acquisition, there is more data available than your organization currently has the capacity to analyze and maintain. A solution has been proposed to set up a cloud environment to host, maintain, and analyze the large volume of information that has been collected. The solution will need to be ongoing, as the acquisition will continue to supply large amounts of unstructured data.
In your role as a data analyst, you will give an overview of why a cloud environment has been chosen over a traditional one, including capacity, costs, the benefits and drawbacks of cloud computing, and the risks and benefits of the transition. As part of this overview, you will deliver an explanation to management and financial officers of what big data is and why it requires different data analysis methods than the ones you and your coworkers have been using so far.
Directions
Use the feasibility proposal template linked in the Supporting Materials section to prepare your recommendations for moving to the cloud. You may select the industry of your choice to use in completing the feasibility proposal. As you complete each section of the template, consider the following rubric criteria:
Differentiate between cloud computing models and their uses.
- What are the different types of deployment models and service models?
- When is it appropriate to use each of the models, both deployment and service?
Compare the benefits and drawbacks of cloud deployment models versus on-premises models.
- What are the benefits of cloud deployment models versus on-premises models?
- What are the drawbacks of cloud deployment models versus on-premises models?
Discuss the risks and benefits of the adoption of the different cloud computing deployment models.
- Identify some of the risks of the adoption of the different cloud computing deployment models.
- Identify some of the benefits of the adoption of the different cloud computing deployment models.
Discuss considerations that should be taken into account when switching to a cloud model.
- What are some of the organizational issues that should be taken into account?
- What are some of the technical issues that should be taken into account?
Explain what differentiates big data from structured data to stakeholders.
- Compare and contrast preprocessing methods for big data versus structured data.
- How is big data collected in comparison to structured data?
- How is big data stored in comparison to structured data?
Describe how the scale (volume, variety, and velocity) of big data affects data analysis methods.
- How does the scale of a data set affect its ability to be processed by conventional methods?
- How does the scale of a data set affect its usability?
What to Submit
To complete this project, you must submit the following:
Feasibility Proposal
Use the provided template to submit your recommendations for moving to the cloud. Replace the bracketed text in each section. Each section should be 1 to 2 paragraphs, for a total length of 3 to 4 pages. All sources should be cited according to APA style.
Supporting Materials
Document:
Project One Template: Feasibility Proposal
Webpage:
Shapiro Library APA Style Guide
For help with your project submission, visit the Shapiro Library APA Style Guide, which also features a link to the Online Writing Center.