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1. How does prescriptive analytics relate to descriptive and predictive analytics?
2. Explain the differences between static and dynamic models. How can one evolve into the other?
3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?
4. Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk.
1. What is Big Data? Why is it important? Where does Big Data come from?
2. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
3. What is Big Data analytics? How does it differ from regular analytics?
4. What are the critical success factors for Big Data analytics?
5. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?
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What does CISSP stand for? Using the internet, find out what continuing education is required for the holder of a CISSP t remain current and in good standing.
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Design an application that gets customer account data that includes an account number, customer name, and balance due.
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Assume the server reads each client message with gets() or the equivalent, which reads in a string up to an . What would it have to do even to detect that a client had used command pipelining?
Should employees have the right to the expectation of privacy while using an employer's computer workstation? Why or why not? How far should an employer be able to take their investigation of off-work but online habits of employees? Should off..
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