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Download JNTUH MCA 4th Sem R15 2018 June-July 824AM Big Data Analytics Question Paper

Download JNTUH (Jawaharlal nehru technological university) MCA (Master of Computer Applications) 4th Sem (Fourth Semester) Regulation-R15 2018 June-July 824AM Big Data Analytics Previous Question Paper

This post was last modified on 17 March 2023

JNTUH MCA 4th Sem Last 10 Years 2023-2013 Question Papers R20-R09 || Jawaharlal nehru technological university


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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

  1. What are the challenges with big data? [5]
  2. What is the difference between reporting and analysis? [5]
  3. Make a comparison of RDBMS and HBase. [5]
  4. What are the challenges faced by distributed computing? [5]
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  6. Compare web analytics with social media analytics. [5]

PART -B

5 x 10 Marks =50

  1. What is big data analytics? Discuss various applications of big data analytics. [10]
    OR

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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]
  2. 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]
  3. 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]
  4. 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]
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  6. 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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