Download JNTUH MCA 4th Sem R15 2017 August 824AM Big Data Analytics Question Paper

Download JNTUH (Jawaharlal nehru technological university) MCA (Master of Computer Applications) 4th Sem (Fourth Semester) Regulation-R15 2017 August 824AM Big Data Analytics Previous Question Paper

R15

Code No: 824AM















JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

MCA IV Semester Examinations, August - 2017

BIG DATA ANALYTICS

Time: 3hrs













Max.Marks:75


Note: This question paper contains two parts A and B.

Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B
consists of 5 Units. Answer any one full question from each unit. Each question carries
10 marks and may have a, b, c as sub questions.



PART - A



















5 ? 5 Marks = 25

1.a) What is big data analytics? What is not big data analytics?





[5]



b) What are data visualization tools? Explain.









[5]

c) Explain about the org.apache.hadoop.io package.







[5]

d) Write about history of Hadoop.













[5]

e) Define mobile analytics.















[5]

PART - B

















5 ? 10 Marks = 50

2.a)

Describe evolution of big data.

b)

What are open source analytical tools? Explain.









[5+5]

OR

3.a)

What is big data? Explain its elements.

b)

Explain about greatest challenges that prevent business from capitalizing big data. What
are top challenges facing big data?











[5+5]



4.a)

What are various types of analytics? Explain.

b)

Give a comparison of various analytical tools.









[5+5]

OR

5.a)

Explain about developing an analytic team.

b)

What are analytical approaches? Explain.











[5+5]


6.a)

Explain about working of MapReduce.

b)

Discuss about HDFS high availability.











[5+5]

OR

7.a)

Explain about Map and Reduce functions.

b)

Describe combining HDFS and HBase.











[5+5]



8.a)

What are distributed computing challenges? Explain.

b)

Why Hadoop? Why not RDBMS?











[5+5]

OR

9.a)

Explain about processing data with Hadoop.

b)

Discuss in detail about HDFS daemons.











[5+5]


10.

Explain the following:



a) Understanding text mining Process b) Types of applications for mobile analytics.[5+5]

OR

11.

Explain the following:



a) Online social media analysis b) Real-time analytics tools





[5+5]

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