STUPIDSID
Solve any one question from Q.1(a,b) & Q.2(a,b)
1(a)
How concurrency control and recovery is done in distributed database?
6 M
1(b)
Describe query optimization in parallel databases.
4 M
2(a)
Define I/O Parallelism? Explain Speedup and Scale-up parallelism.
5 M
2(b)
Compare RDBMS, OODBMS, and ORDBMS.
5 M
Solve any one question from Q.3(a,b) & Q.4(a,b)
3(a)
Consider the following nested relational schema.
Emp= (ename, childrensetsetoff(children), skillset setoff(skills))
Children = (name, birthday), Birthday = (day, month, year)
Skills = (type, Examsetsetoff(Exams)), Exams=(year, city)
Answer the following:
i) Write DTD and XML file
ii) Write a query in XPath to list all skill types in Emp.
iii) Find the name of all the employees who have a child who has a birthday in March.
Emp= (ename, childrensetsetoff(children), skillset setoff(skills))
Children = (name, birthday), Birthday = (day, month, year)
Skills = (type, Examsetsetoff(Exams)), Exams=(year, city)
Answer the following:
i) Write DTD and XML file
ii) Write a query in XPath to list all skill types in Emp.
iii) Find the name of all the employees who have a child who has a birthday in March.
6 M
3(b)
Explain concept of improving data access with secondary Indexes in Dynamo DB.
4 M
4(a)
What is Cassandra Query Language? Explain in detail.
5 M
4(b)
Write short notes on Transient and Persistent objects.
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? Explain with example frequent subgraph mining methods.
8 M
6(a)
What is social Network? Explain different characteristics of social networks.
8 M
6(b)
Write a short note on following:
i) Apache Flume NG
ii) Tasks Link Mining
i) Apache Flume NG
ii) Tasks Link Mining
8 M
Solve any one question from Q.7(a,b,c) & Q.8(a,b,c)
7(a)
Which are the various text characterization methods? Explain any two of them.
6 M
7(b)
Explain concept of data modeling for web usage mining.
6 M
7(c)
Explain concept of collaborative filtering using KNN Algorithm
6 M
8(a)
Explain recommender systems. Which are the problems associated with it?
6 M
8(b)
Describe Collaborative Filtering: Matrix factorization in detail.
6 M
8(c)
Describe most common types of pattern discovery and Analysis techniques employed in the web usage mining.
6 M
Solve any one question from Q.9(a,b) & Q.10(a,b)
9(a)
Write short note on:
i) Multimedia Databases
ii) Cloud databses
i) Multimedia Databases
ii) Cloud databses
8 M
9(b)
What is deductive database? Explain query evaluation technique in deductive databases.
8 M
10(a)
Compare Spatial and Temporal databases.
8 M
10(b)
What is semantics? Explain semantics in deductive database in detail.
8 M
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