1. Why does business need to be concerned whit he quality of this data?
  2. Why would a company care about the timeliness of this data?
  3. What are the five characteristics common to high-quality information?
  4. What is data governance and why it is important to a company?
  5. What are the four primary traits that help determine the value of information?
  6. What is the difference between an entry and attribute?
  7. What are the advantages of a relational database?
  8. What are the advantages of a data-driven website?

Chapter 7


  1. What is data warehouse and why would a business want to implement one?
  2. How does ETL help Transfer data in and out of data warehouse?
  3. What is the purpose of information cleaning (or scrubbing)?
  4. What is the cause of dirty data?
  5. What is business intelligence and how can help a company achieve success?
  6. What is the difference between business intelligence and data?
  7. Why would a marketing department want a data mart instead of just accessing the entire data warehouse?
  8. Why would a business be data rich but information poor?

Chapter 8


  1. What is big data?
  2. What are the four common characteristics of big data?
  3. What is distributed computing and how has it helped drive the big data era?
  4. What is virtualization and how has it helped drive the bid data era?
  5. What are the six steps in the data-mining process and why is each important?
  6. What are the four data-mining techniques? provide example of haw yow you would use each one in business?
  7. What is data-drive decision management?
  8. What are the four data-mining techniques for predictions and why are they important to a business?
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