Exam Details
| Subject | data warehousing | |
| Paper | ||
| Exam / Course | mca | |
| Department | ||
| Organization | Gujarat Technological University | |
| Position | ||
| Exam Date | June, 2017 | |
| City, State | gujarat, ahmedabad |
Question Paper
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER—III-EXAMINATION -SUMMER-2017
Subject code: 3630011 Date: 09/06/2017
Subject Name: Data Warehousing
Time: 02:30 PM 05:00 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
Expand following abbreviations
1. OLAP 2. DDDM 3. SQL 4. SOM
5. ODS 6. VLDB 7. OLTP
07
Answer the Following questions:
1. What is Metadata?
2. What is Dimension Table?
3. What are the stages of Data-warehousing?
4. What is Data mining?
01 02 02 02
Q.2
Why data processing is an important issue in data warehousing? What are the salient features of Data Warehouse?
07
What is Business Intelligence? And how this is related with Data Warehousing?
07
OR
1. What is the difference between OLTP and OLAP? 2. What is Data Mart?
05 02
Q.3
What are the steps of building Data Warehouse?
07
What is Zachman framework? Discuss direct and indirect access of data in data warehouse with respect to framework.
07
OR
Q.3
What is ETL? Define any five tools which are available for ETL.
07
What is the difference between ER Modeling and Dimensional Modeling?
07
Q.4
What is SCD? How many types of SCDs are there define with example.
07
Describe Executive Information System with its potential. What is the application of Drill-down analysis?
07
OR
Q.4
I. Normalization and De-normalization II. Mid-Level Data Model
04 03
I. Multi-Dimensional Model II. Unstructured Data Warehouse
04 03
Q.5
Explain Data Driven Development Methodology.
07
Elucidate Granularity in Data Warehouse
07
OR
Q.5
Describe Snowflake structures
06
Explain the Three-Tier Architecture of Data Warehouse
08
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER—III-EXAMINATION -SUMMER-2017
Subject code: 3630011 Date: 09/06/2017
Subject Name: Data Warehousing
Time: 02:30 PM 05:00 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
Expand following abbreviations
1. OLAP 2. DDDM 3. SQL 4. SOM
5. ODS 6. VLDB 7. OLTP
07
Answer the Following questions:
1. What is Metadata?
2. What is Dimension Table?
3. What are the stages of Data-warehousing?
4. What is Data mining?
01 02 02 02
Q.2
Why data processing is an important issue in data warehousing? What are the salient features of Data Warehouse?
07
What is Business Intelligence? And how this is related with Data Warehousing?
07
OR
1. What is the difference between OLTP and OLAP? 2. What is Data Mart?
05 02
Q.3
What are the steps of building Data Warehouse?
07
What is Zachman framework? Discuss direct and indirect access of data in data warehouse with respect to framework.
07
OR
Q.3
What is ETL? Define any five tools which are available for ETL.
07
What is the difference between ER Modeling and Dimensional Modeling?
07
Q.4
What is SCD? How many types of SCDs are there define with example.
07
Describe Executive Information System with its potential. What is the application of Drill-down analysis?
07
OR
Q.4
I. Normalization and De-normalization II. Mid-Level Data Model
04 03
I. Multi-Dimensional Model II. Unstructured Data Warehouse
04 03
Q.5
Explain Data Driven Development Methodology.
07
Elucidate Granularity in Data Warehouse
07
OR
Q.5
Describe Snowflake structures
06
Explain the Three-Tier Architecture of Data Warehouse
08
Other Question Papers
Subjects
- advance database management system
- advanced biopharmaceutics & pharmacokinetics
- advanced medicinal chemistry
- advanced networking (an)
- advanced organic chemistry -i
- advanced pharmaceutical analysis
- advanced pharmacognosy-1
- advanced python
- android programming
- artificial intelligence (ai)
- basic computer science-1(applications of data structures and applications of sql)
- basic computer science-2(applications of operating systems and applications of systems software)
- basic computer science-3(computer networking)
- basic computer science-4(software engineering)
- basic mathematics
- basic statistics
- big data analytics (bda)
- big data tools (bdt)
- chemistry of natural products
- cloud computing (cc)
- communications skills (cs)
- computer aided drug delivery system
- computer graphics (cg)
- computer-oriented numerical methods (conm)
- cyber security & forensics (csf)
- data analytics with r
- data mining
- data structures (ds)
- data visualization (dv)
- data warehousing
- data warehousing & data mining
- database administration
- database management system (dbms)
- design & analysis of algorithms(daa)
- digital technology trends ( dtt)
- discrete mathematics for computer science (dmcs)
- distributed computing (dc1)
- drug delivery system
- dynamic html
- enterprise resource planning (erp)
- food analysis
- function programming with java
- fundamentals of computer organization (fco)
- fundamentals of java programming
- fundamentals of networking
- fundamentals of programming (fop)
- geographical information system
- image processing
- industrial pharmacognostical technology
- information retrieving (ir)
- information security
- java web technologies (jwt)
- language processing (lp)
- machine learning (ml)
- management information systems (mis)
- mobile computing
- molecular pharmaceutics(nano tech and targeted dds)
- network security
- object-oriented programming concepts & programmingoocp)
- object-oriented unified modelling
- operating systems
- operation research
- operations research (or)
- pharmaceutical validation
- phytochemistry
- procedure programming in sql
- programming skills-i (ps-i-fop)
- programming skills-ii (ps-oocp)
- programming with c++
- programming with java
- programming with linux, apache,mysql, and php (lamp)
- programming with python
- search engine techniques (set)
- soft computing
- software development for embedded systems
- software engineering
- software lab (dbms: sql & pl/sql)
- software project in c (sp-c)
- software project in c++ (sp-cpp)
- software quality and assurance (sqa)
- statistical methods
- structured & object oriented analysis& design methodology
- system software
- virtualization and application of cloud
- web commerce (wc)
- web data management (wdm)
- web searching technology and search engine optimization
- web technology & application development
- wireless communication & mobile computing (wcmc)
- wireless sensor network (wsn)