Case Study 2.1- Facebook’s Big Data Storage

Case Study

Read “Case 2.1: Facebook’s Big Data Storage” and write an essay that answers the following questions:

1. What is Facebook's main motivation for creating new database management systems?

2. What are some of the challenges that Facebook faces when it comes to managing big data?

3. How does Facebook's use of Scuba and Cubrick database management systems improve its advertising efforts?

4. What types of data does Facebook collect from its users to inform its advertising efforts?

5. How does Facebook use machine learning to analyze user data and improve its advertising targeting?

6. What are the benefits and potential drawbacks of Facebook's use of big data and machine learning for advertising?

7. How does Facebook ensure that user data is protected and not misused for advertising purposes?

8. What are some potential ethical concerns related to Facebook's use of big data and machine learning for advertising?

9. How can Facebook improve transparency and communication with its users regarding its use of their data for advertising purposes?

10. What are some potential future developments in the field of big data and machine learning that could impact Facebook's advertising efforts? 

Requirements:

· There is no specific page requirement for your analysis. Instead, your work will be evaluated based on how thoroughly it addresses each of the questions that have been outlined for you.

· You must utilize proper APA formatting and citations throughout your paper. If you use any supporting evidence from external sources, it is imperative that you provide accurate citations for each reference.

· You must include a minimum of two sources from scholarly articles or business periodicals, aside from the course textbook. 

· Include your best critical thinking and analysis to arrive at your justification.    

· Please note that any use of AI text generation tools such as ChatGPT is strictly prohibited and will result in a grade of zero due to plagiarism.

Submission: Upload/attach your completed paper to this assignment by the due date.