Exam Details
| Subject | data warehousing & data mining | |
| Paper | ||
| Exam / Course | mca | |
| Department | ||
| Organization | Gujarat Technological University | |
| Position | ||
| Exam Date | May, 2018 | |
| City, State | gujarat, ahmedabad |
Question Paper
1/1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER III • EXAMINATION SUMMER 2018
Subject Code: 3630011 Date: 29-May-2018
Subject Name: Data Warehousing
Time: 02.30 pm to 5.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1
What is data warehouse? Explain the salient characteristics of data warehouse with suitable examples.
07
Explain the typical process of building a data warehouse.
07
Q.2
What do you mean by granularity in data warehouse? Explain the levels of granularity.
07
Why we need to build data mart? List the advantages and disadvantages of data mart.
07
OR
Differences between operational database systems and data warehouses.
07
Q.3
Write a short note on: data homogeneity and heterogeneity.
07
What is meta data? How to manage reference tables in a data warehouse?
07
OR
Q.3
Write a short note on: direct and indirect access of data warehouse data.
07
What is transformation and integration in data warehouse? what kind of functionality is required as data passes from the operational, legacy environment to the data warehouse environment?
07
Q.4
How data warehouse can be useful in an airline commission calculation system? Explain in detail.
07
Explain the different OLAP operation with suitable examples.
07
OR
Q.4
How data warehouse can be useful in a retail personalization system? Explain in detail.
07
Describe Executive Information System with its potential. What is the application of Drill-down analysis?
07
Q.5
Discuss and describe the various schematic representations in multidimensional model.
07
What are the parameters to be consider while moving data from the web to the data warehouse?
07
OR
Q.5
Explain the snowflake structures? Also, give the difference between star join and relational structure.
07
Write a short note on: self-organizing map (SOM).
07
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER III • EXAMINATION SUMMER 2018
Subject Code: 3630011 Date: 29-May-2018
Subject Name: Data Warehousing
Time: 02.30 pm to 5.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1
What is data warehouse? Explain the salient characteristics of data warehouse with suitable examples.
07
Explain the typical process of building a data warehouse.
07
Q.2
What do you mean by granularity in data warehouse? Explain the levels of granularity.
07
Why we need to build data mart? List the advantages and disadvantages of data mart.
07
OR
Differences between operational database systems and data warehouses.
07
Q.3
Write a short note on: data homogeneity and heterogeneity.
07
What is meta data? How to manage reference tables in a data warehouse?
07
OR
Q.3
Write a short note on: direct and indirect access of data warehouse data.
07
What is transformation and integration in data warehouse? what kind of functionality is required as data passes from the operational, legacy environment to the data warehouse environment?
07
Q.4
How data warehouse can be useful in an airline commission calculation system? Explain in detail.
07
Explain the different OLAP operation with suitable examples.
07
OR
Q.4
How data warehouse can be useful in a retail personalization system? Explain in detail.
07
Describe Executive Information System with its potential. What is the application of Drill-down analysis?
07
Q.5
Discuss and describe the various schematic representations in multidimensional model.
07
What are the parameters to be consider while moving data from the web to the data warehouse?
07
OR
Q.5
Explain the snowflake structures? Also, give the difference between star join and relational structure.
07
Write a short note on: self-organizing map (SOM).
07
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