M.Sc. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2017.
Third Semester
Computer Science
Paper IV (Elective — BIG DATA ANALYTICS
2 20934 A
Time 3 Hours Max. Marks 70
PART — A
Answer any FIVE questions. 6 30 Marks)
Each question carries 6 marks.
1. What are the four dimensions of Big Data? Briefly explain it.
2. Explain the role of data scientist for analyzing Big data.
3. Why Crowd Sourcing analytics needed? Explain.
4. State and describe different commodity models.
5. Describe the operation of and "sort" in Map reduce frame work.
6. What are the different data architecture patterns in NoSQL?
7. Show on how a client read and write data in HDFS.
8. Write short notes on distributed file systems.
PART — B
Answer ONE question from each Unit. 10 40 Marks)
Each question carries 10 marks.
UNIT I
9. Explain about structured, Unstructured and semi structured data with example.
Or
10. Explain how Big data differ from traditional data? Discuss big data applications in
industries.

UNIT II
11. Discuss different ways storing the Big data and how to selecting the data sources
for analysis.
Or
12. Explain in detail about predictive Big data analytics.
UNIT III
13. Explain about Filtering patterns and Join patterns.
OR
14. Write the features of NoSQL, JSON store and MDX.
UNIT IV
15. Discuss the steps involved in designing HDFS.
Or
16. Explain various component of Hadoop and Hadoop Cluster architecture.
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