Saturday, August 12, 2017

BE IT CGPA DMDW Assignment I Sem I 2017-18

MGM’s College of Engineering, Nanded.
Department of IT
Semester I (2017-18)
Class: BE(IT)       Subject: DMDW         Assignment I

1. Enlist and explain characteristics of Data warehouse.
2. Define metadata. What are the contents of metadata in DW? Enlist and explain.
3. Draw the block diagram of DW architecture. Explain various components of DW architecture.
4. Enlist and explain the OLAP operations with appropriate example.
5. A data cube is having sales of different cities of India, and it was decided to find the total sales of each state, which OLAP operation is useful and why?
6. A data cube is having total marks of students, which OLAP operations can be used to find marks of each subject? Why?
7. Compare snowflake and fact constellation schema with appropriate example.
8. Suppose a DW consists of four dimensions  Time, Product, Branch, Manager and one measure Total_Sales. Draw a star and snowflake schema.
9. Write SQL statements to create the above star schema (Q No. 8).
10. Design a data warehouse for a regional weather bureau. The weather bureau has about 1000 probes, which are scattered throughout various land and ocean locations in the region to collect basic weather data, including air pressure, temperature, and precipitation at each hour. All data are sent to the central station, which has collected such data for more than 10 years. Your design should facilitate efficient querying and online analytical processing, and derive general weather patterns in multidimensional space.
11. Explain starnet query model with an appropriate example.
12. Describe the steps involved in data mining when viewed as a process of knowledge discovery.
13. Suppose your task as a software engineer at Big-University is to design a data mining system to examine
their university course database, which contains the following information: the name, address, and status
(e.g., undergraduate or graduate) of each student, the courses taken, and their cumulative grade point average (GPA). Describe the architecture you would choose. What is the purpose of each component of this
architecture?              
14. You design a data mining software system for an enterprise, how you evaluate the performance of your data mining software.
15. Create a bitmap index for the following table.

TID
City
  Type
Sales
T1
Pune
 Retail
10000
T2
Mumbai
Dealer
>50000
T3
Nagpur
Dealer
>50000
T5
Pune
Dealer
10000
T6
Mumbai
Retail
>100000

16. How is a data warehouse different from a database? How are they similar?





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