Code No: 824AM R15
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JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MCA IV Semester Examinations, June/July - 2018
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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
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5 x 5 Marks = 25
- What are the challenges with big data? [5]
- What is the difference between reporting and analysis? [5]
- Make a comparison of RDBMS and HBase. [5]
- What are the challenges faced by distributed computing? [5]
- Compare web analytics with social media analytics. [5]
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PART -B
5 x 10 Marks =50
- What is big data analytics? Discuss various applications of big data analytics. [10]
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What traits need to be honed by a technical professional to play the role of a data scientist? Discuss the responsibilities of a data scientist. [10] - What is meant by predictive analytics? With suitable examples explain the need of it for the market/ industry. [10]
OR
Describe the features of IBM SPSS tool for data analytics. [10] - With relevant examples discuss the techniques to optimize map reduce jobs. [10]
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OR
What are the various components in Hadoop eco system? Briefly explain each component use. [10] - What are the main features of NoSQL? Can it eliminate RDBMS? Explain the role of NoSQL in big data handling. [10]
OR
What is a cluster? What is its importance? Discuss the features of Hadoop cluster for HDEFS. [10] - What is sentiment analysis? Demonstrate it on Twitter data. Assume suitable tweets to explain your answer. [10]
OR
Explain the steps in text mining process and give the famous applications of text mining. [10]
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