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What is the most useful/practical thing you have learned? What things do you still wonder about or are confused about?
Briefly explain any steps you are taking, or plan to take, to gain hands-on experience in your program of study (Database systems).
What would the impact on your life be if the data collected, or that could be collected, was released to the public?
Share an applicable personal experience. Provide an outside source that applies to the topic, along with additional information about the topic or the source.
Focus on how the information will be captured, manipulated, managed, and shared, and the value the database brings to the organization.
What is your definition of data visualization? What are the key components of data visualization? What techniques do you hope to learn from this course?
Describe the intellectual property protection mechanism required to protect your product. How is this intellectual property captured, registered, and protected?
Describe the appropriate cryptographic tools that can be applied at various locations throughout that architecture in order to achieve a variety of goals.
Do you believe that all data should be encrypted? Many computing professionals think this is a good idea.
Why are keywords used during the Literature Review process? Why use/apply APA basic citation style in your writing homeworks?
Use the web or other resources to research at least two criminal or civil cases in which recovered files played a significant role in how the case was resolved.
How does this film contribute to our understanding of film as a medium of illusion and persuasion and promote personal and cultural identity?
Then compare and contrast the different techniques focusing on how the differences can be beneficial or detrimental.
Compare and contrast the different techniques focusing on how the differences can be beneficial or detrimental.
If there are significant differences in the data output, how can this happen and why is it important to note the differences?
Discuss the relationship between data redundancy and normalization. What are the consequences if databases are not normalized?
Give examples of systems in which it may make sense to use traditional file processing instead of a database approach.
As a business professional, why does the following difference matter to you? Why does knowing the difference help you avoid some common mistakes?
Explain why the entity relationship (ER) model is useful. How has it helped to produce a more structured relational database design environment?
How can this happen and why is it important to note the differences? Who should determine which algorithm is right and the one to keep? Why?
Discuss different data collection or business analytics techniques, then compare and contrast the different techniques focusing.
What steps would you take to deal with frequently changing priorities and high customer demands? Include examples from your work history.
Consider the following set of requirements for a UNIVERSITY database. Create an ER Diagram, listing all cardinality constraints and assumptions.