Questions:
1. State any three factors that indicate the continued growth in data warehousing. Can you think of
some examples?
2. Why do data warehouses continue to grow in size, storing huge amounts of data? Give any three
reasons.
3. Why is it important to sore multiple types of data in the data warehouse? Give examples of some
non structured data likely to be found in the data warehouse of a Sales and Marketing function.
4. Describe the types of charts you are likely to see in the information delivery.
5. What is SMP (Symmetric Multiprocessing) parallel processing hardware? Describe the
configuration.
6. What is MPP (massively parallel processing) parallel processing hardware? Describe the
configuration.
7. Explain what is meant by agent technology? How can this technology be used in a data
warehouse?
8. Describe any one of the options available to integrate ERP with data warehousing?
9. What is CRM? How can you make your data warehouse CRM-ready?
10. What do you mean by a web-enabled data warehouse? Describe three of its functional features.
Business Cases:
1. As a senior analyst on the data warehouse project of a large retail chain, you are responsible for
improving data visualization of the output results. Make a list of your recommendations?
2. Explain how and why parallel processing can improve the performance for data loading and index
creation?
3. Discuss three specific ways in which agent technology may be used to enhance the value of the
data warehouse in a large manufacturing company.
4. Your company is in the business of renting DVDs and video tapes. The company has recently
entered into e-commerce and the senior management wants to make the existing data warehouse
Web-enabled. List and describe any three of the major tasks required for satisfying the
management's directive.
Second one:
ReplyDelete1. As a senior analyst on the data warehouse project of a large retail chain, you are responsible for
improving data visualization of the output results. Make a list of your recommendations?