Exam Details

Subject data warehousing
Paper
Exam / Course mca
Department
Organization Gujarat Technological University
Position
Exam Date November, 2018
City, State gujarat, ahmedabad


Question Paper

1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated SEMESTER- VII- EXAMINATION WINTER 2018
Subject Code: 4470622 Date: 22-11-2018
Subject Name: Data Warehousing
Time: 10.30 am to 1.00 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

Answer the following
1. ETL stands
2. Define metadata.
3. What is Exploration Warehouse?
4. Define term: de-normalization
5. Explain concept hierarchy
6. Define the structure data.
7. ODS stands
07

Draw and explain the data warehouse architecture
07
Q.2

Differences between operational database systems and data warehouses.
07

Define data warehouse and explain the different data models.
07
OR

Why we need to build data mart? List the advantages and disadvantages of data mart
07
Q.3

What is the difference between ER Modeling and Dimensional Modeling?
07

What is a snapshot? Explain various triggers of a snapshot in brief.
07
OR
Q.3

What is meta data? How to manage reference tables in a data warehouse?
07

Explain in brief the feedback loop techniques for deciding the levels of granularity in a data warehouse.
07
Q.4

Explain the relation between EIS and data warehouse in detail.
07

What do you mean by contextual information? Explain its types and state their importance in the context of data warehousing environment.
07
OR
Q.4

Explain the different OLAP operation with suitable examples.
07

Explain the process of relating the structured and unstructured environments of data warehouse.
07
Q.5

What are the parameters to be consider while moving data from the web to the data warehouse?
07

Explain Data Driven Development Methodology.
07
OR
Q.5

How is unstructured data organized in a data warehouse? Explain the process of managing the volume of data in an unstructured data warehouse.
07

What do you mean by independent data mart? State its advantages and disadvantages.
07



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