STUPIDSID
Solve any one question from Q.1(a,b) &Q.2(a,b)
1(a)
Explain fragmentation in distributed databases.
6 M
1(b)
Write short note on Distributed Query Processing.
4 M
2(a)
Explain various system parameters of parallel databases.
5 M
2(b)
Comparison between object relational and object oriented database.
5 M
Solve any one question from Q.3(a,b) &Q.4(a,b)
3(a)
Give the DTD for an XML representation of the following nested relational schema.
Emp = (ename, ChildrenSet set of (Children), SkillSet Set of (Skills))
Children = (day, month, year)
Skills = (type, Examset set of (Exams))
Exam = (year, city)
Use the DTD and write the following queries in Xqueries format.
i) Find the names of all employees who have a child who has a birthday in March.
ii) Find those employees who took an examination for the skill type "typing" in the city "Dayton".
iii) List all skill types in Emp.
Emp = (ename, ChildrenSet set of (Children), SkillSet Set of (Skills))
Children = (day, month, year)
Skills = (type, Examset set of (Exams))
Exam = (year, city)
Use the DTD and write the following queries in Xqueries format.
i) Find the names of all employees who have a child who has a birthday in March.
ii) Find those employees who took an examination for the skill type "typing" in the city "Dayton".
iii) List all skill types in Emp.
6 M
3(b)
Explain various operations performed by DynamoDB in detail.
4 M
4(a)
What is Cassandra Query Language? Explain in detail.
5 M
4(b)
What does column based Key-Value mean when talking about Cassandra vs DynamoDB?
5 M
Solve any one question from Q.5(a,b) &Q.6(a,b)
5(a)
How stream data management system works? Explain its issues and solutions.
8 M
5(b)
What is Graph Mining? Also explain its advantages & applications.
8 M
6(a)
What are the models of social network generation? Explain in detail.
8 M
6(b)
Write a short note on Apache Flume NG.
8 M
Solve any one question from Q.7(a,b,c) &Q.8(a,b,c)
7(a)
Explain Naive Bayes classification for text categorization with example.
6 M
7(b)
Explain concept of data modeling for web usage mining.
6 M
7(c)
Explain concept of collaborative filtering using KNN.
6 M
8(a)
Explain recommender systems. Which are the problems associated with it?
6 M
8(b)
Describe matrix factorization in detail.
6 M
8(c)
How navigational and sequential patterns are analyzed.
6 M
Solve any one question from Q.9(a,b) &Q.10(a,b)
9(a)
Write short note on
i) Spatial databases.
ii) Temporal databases.
i) Spatial databases.
ii) Temporal databases.
8 M
9(b)
Explain Query Processing in Deductive database in detail. Explain SQL & Datalog Query Processing.
8 M
10(a)
Explain cloud database in detail. Also explain the advantages and disadvantages of cloud databases.
8 M
10(b)
What is semantics? Explain semantics in deductive database in detail.
8 M
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