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Introduction to Computer Science

Thought Provokers

Introduction to Computer ScienceThought Provokers

Thought Provokers

1 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it can best use data management knowledge to create products or services that can generate business. Give precise examples and explain how the start-up would be able to scale the resulting business (i.e., keep sustaining the cost of doing business while increasing its number of customers).
2 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it could leverage a database system to support a new social media application that makes it possible to gather various types of data from various data sources including sensors located at the edge of the network. Give some precise examples and explain how the start-up would be able to scale this approach.
3 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it could use a “universal” approach to apply a RDBMS to all possible data management situations. In particular, can you tell if such a solution already exists and if so, give precise examples. What are or would be the limitations of such a solution and is it even possible?
4 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it could use a Hibernate to access many different types of database management systems. Are there specific DBMSs that would not be covered by this solution? Would it be a good idea to extend Hibernate to do so, if there is such a solution already in place? If not, what are or would be the limitations of doing so and is it even possible?
5 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it can use data lakes as an umbrella for many existing data warehouses and add to them. Is there such a solution already in place? Elaborate on the benefits and drawbacks of this approach and explain how the start-up would be able to scale this approach.
6 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it can use machine learning to create software solutions that can operate autonomously. Are there any such solutions available today? Give some precise examples and explain how the start-up would be able to scale this approach.
7 .
Consider our start-up company that is 100% committed to leveraging innovative technologies as a business growth facilitator. Describe how it could put together a generic framework to support informatics applications in any domain. Does such a solution exist already? Either way, how would the start-up be able to scale this approach?
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