Exam Details
| Subject | big data analytics | |
| Paper | ||
| Exam / Course | m.tech | |
| Department | ||
| Organization | Institute Of Aeronautical Engineering | |
| Position | ||
| Exam Date | February, 2017 | |
| City, State | telangana, hyderabad |
Question Paper
Hall Ticket No Question Paper Code: BCS212
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech I Semester End Examinations (Regular) February, 2017
Regulation: IARE-R16
BIG DATA ANALYTICS
(Computer Science and Engineering
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. What is big data analytics? What are the challenges facing big data?
Describe CAP theorem with illustration.
2. Discuss the elements of big data justifying your answer with example of each element.
List the differences between parallel and distributed systems.
UNIT II
3. Explain the analytic process with illustration.
SAS is an informtion delivery system which enables transformations of datasets into useful information
which helps in taking important decisions. Justify the statement defining various features
of SAS.
4. An organization often requires both reporting and analysis to explore new business insights for
big data. State the importanceof reporting and analysis. How does both differntiate?
Define text data analysis. Show some examples of data sources with different data structures
typesused in text data analysis.
UNIT III
5. List and describe the main features of MapReduce.
Describe HDFS architecture with illustration.
6. Write a short note on Hadoop ecosystem.
What is metadata? What information does it provide?
Discuss the concept of regions in HBase.
Page 1 of 2
UNIT IV
7. What is NoSQL? State the features of NoSQL. Why is NoSQL preferred in case of big data?
Write short notes on NameNode and DataNode illustrating the communication between both the
Nodes.
8. What is Hdoop? What are the components of Hadoop? Explain High Level arhitecture of
Hadoop.
Write a brief description on the anatomy of File Read.
UNIT V
9. Describe the key elements of social media.
What is mobile analytics? Differentiate between mobile analytics and web analytics.
10. What do you understand by sentiment analysis?
What are the types of application considered for mobile analytics? Explain.
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech I Semester End Examinations (Regular) February, 2017
Regulation: IARE-R16
BIG DATA ANALYTICS
(Computer Science and Engineering
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. What is big data analytics? What are the challenges facing big data?
Describe CAP theorem with illustration.
2. Discuss the elements of big data justifying your answer with example of each element.
List the differences between parallel and distributed systems.
UNIT II
3. Explain the analytic process with illustration.
SAS is an informtion delivery system which enables transformations of datasets into useful information
which helps in taking important decisions. Justify the statement defining various features
of SAS.
4. An organization often requires both reporting and analysis to explore new business insights for
big data. State the importanceof reporting and analysis. How does both differntiate?
Define text data analysis. Show some examples of data sources with different data structures
typesused in text data analysis.
UNIT III
5. List and describe the main features of MapReduce.
Describe HDFS architecture with illustration.
6. Write a short note on Hadoop ecosystem.
What is metadata? What information does it provide?
Discuss the concept of regions in HBase.
Page 1 of 2
UNIT IV
7. What is NoSQL? State the features of NoSQL. Why is NoSQL preferred in case of big data?
Write short notes on NameNode and DataNode illustrating the communication between both the
Nodes.
8. What is Hdoop? What are the components of Hadoop? Explain High Level arhitecture of
Hadoop.
Write a brief description on the anatomy of File Read.
UNIT V
9. Describe the key elements of social media.
What is mobile analytics? Differentiate between mobile analytics and web analytics.
10. What do you understand by sentiment analysis?
What are the types of application considered for mobile analytics? Explain.
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