1. Categorize the five common characteristics of high-quality information and rank them in order of importance for big data.
2. Explain how issues with low-quality information will impact big data.
3. Describe possible entities located in a database that tracks students and grades OR possible attributes located in a database that tracks students and grades.
4. List the different types of dirty data and why it is important to cleanse data.
5. List the reasons a business would want to display big data in a graphic or visual format.
6. Describe how a business could use a few of the data analysis techniques to understand how the business is operating.