Formulate a question / insight that you could gain from analyzing this set.
d. Present two cases for a proof of concept to validate the previous analysis: One from the point of view of a business evangelist, and the other from the point of view of a technical evangelist.
e. Elaborate what type of transformations or augmentation you would need to do to the data in order to obtain results for point c).
3. Explain the difference between Mean, Median and Mode. For each, come up with an example where you would use it over the others, and explain why.
4. Explain two key differences between traditional RDBMs and NoSQL / other novel data stores. Describe a business problem / application that would fit each of the two data stores better. Explain why.
5. Explain the difference between serial and parallelizable algorithms. Pick an algorithm, and show how you it could be implemented each way
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