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JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
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MCA V Semester Examinations, December - 2019
BIG DATA ANALYTICS
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Time: 3hrs--- Content provided by FirstRanker.com ---
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Max.Marks:75
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S
Note: This question paper contains two parts A and B.
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Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part Bconsists 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.
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PART - A
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5 ? 5 Marks = 25
1.a) List the types and sources of big data.
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[5]b) Differentiate between monetized analytics and operational analytics.
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[5]
c) What points to be considered in designing a file to support Map Reduce implementation?
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[5]
d) What is NoSQL? Where is it used?
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[5]e) List the key elements of social media.
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[5]
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PART - B
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5 ? 10 Marks = 502.
Describe three types of analytics and various analytical approaches typically associated
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with big data.--- Content provided by FirstRanker.com ---
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[10]
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OR3.a)
Explain the importance of parallel computing for big data.
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b)
What are the key questions to be answered by all organizations stepping into analytics?
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[5+5]4.
Explain the differences between reporting and analysis with suitable example scenarios.
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[10]OR
5.a)
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Illustrate various phases of analysis process.
b)
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[5+5]6.
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Discuss the role of HBase in big data processing with suitable examples.[10]
OR
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7.a)
Briefly discuss any five hadoop-specific file system types.
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b)What is the functionality of Hadoop YARN?
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[5+5]
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8.a)Discuss the advantages of shared nothing architecture.
b)
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List the components of the Hadoop ecosystem.
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[5+5]
OR
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9.What are the limitations of relational database management system? Explain how hadoop
has overcome them.
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[10]
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10.a) What parameters are applied to classify the given text in the process of sentiment
analysis?
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b) Discuss briefly online tools used to perform sentiment analysis.
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[5+5]OR
11.a) What is the importance of location-based tracking tools?
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b) Differentiate between internal and external mobile analytics tools.[5+5]
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---ooOoo---
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