Code No: 824AM
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
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MCA IV Semester Examinations, August - 2017BIG DATA ANALYTICS
Time: 3hrs Max.Marks:75
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 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 x 5 Marks = 25
- 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]
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PART -B
5 x 10 Marks =50
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- a) Describe evolution of big data.
b) What are open source analytical tools? Explain. [5+5]
OR
- a) What is big data? Explain its elements.
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b) Explain about greatest challenges that prevent business from capitalizing big data. What are top challenges facing big data? [5+5]
- a) What are various types of analytics? Explain.
b) Give a comparison of various analytical tools. [5+5]
OR - a) Explain about developing an analytic team.
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b) What are analytical approaches? Explain. [5+5]
- a) Explain about working of MapReduce.
b) Discuss about HDES high availability. [5+5]
OR - a) Explain about Map and Reduce functions.
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b) Describe combining HDFS and HBase. [5+5]
- a) What are distributed computing challenges? Explain.
b) Why Hadoop? Why not RDBMS? [5+5]
OR - a) Explain about processing data with Hadoop.
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b) Discuss in detail about HDFS daemons. [5+5]
- Explain the following:
a) Understanding text mining Process b) Types of applications for mobile analytics.[5+5]
OR - Explain the following:
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a) Online social media analysis b) Real-time analytics tools [5+5]
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