Reference no: EM132195776
Topic - Big Data Analytics Foundation
Case Study Discussions: EBay Big Data Solution:
Please read the relevant case study and answer the following questions
1. Why Big Data is a Big Deal for EBay?
2. What were the challenges, the proposed solution, and the obtained results?
3. Can you think of other e-commerce business that may have Big Data challenges comparable to that of EBay?
Investment Banks:
Please read the relevant case study and answer the following questions
1. How can Big Data benefit large-scale trading banks?
2. How did MarkLogic infrastructure help ease the leveraging of Big Data?
3. What were the challenges, the proposed solution, and the obtained results?
Portfolio Questions
1. What is Big Data? How is it different from the traditional data?
2. Discuss the differences between structured and unstructured data with the help of examples
3. Discuss various rationales for organizations to use Big Data Analytics. Please search for two organizations online and explain their motivations for using Big Data Analytics
4. Briefly discuss the various critical success factors for Big Data Analytics.
5. Discuss various types of analytical techniques and how they could be applied to different data such as call centre's call records, Netflex Video streaming, Twitter hashtags for new products and credit card fraud prediction
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Summarize the curriculum history of the united states
: Research and briefly summarize the curriculum history of the United States. What are the major movements in the curriculum history
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Tangible sources of value that can be realized through BDA
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What is the probability that at least one of them has been
: If 4 people are randomly selected, what is the probability that AT LEAST ONE of them has been vaccinated?
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Three samples combined into one mixture
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Discuss critical success factors for big data analytics
: Briefly discuss the various critical success factors forBig Data Analytics - Discuss various types of analytical techniques and how they could be applied
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Does the typical data base account for project complexity
: “Does the typical data base account for project complexity when considering the esti- mates?” asked Barbara. Peter responded:
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Compute the summary statistics
: The weights of a sample of nine boxes sent by UPS are: 12, 6, 7, 3, 10, 7, 5, 11, and 8. Compute the following summary statistics.
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How does nat help with scalability
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How long does the project take
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