Bharathidasan University Bharathidasan University, M.C.A Degree Examination, Computer Applications, Big Data Analytics, Nov 2021. model question papers



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Posted Date: 06 Feb 2022      Posted By:: Jannane.M    Member Level: Gold  Points: 3 (₹ 3)

2021 Bharathidasan University Bharathidasan University, M.C.A Degree Examination, Computer Applications, Big Data Analytics, Nov 2021. Question paper



Course: M.C.A   University/board: Bharathidasan University

Are you looking for the old question papers from Bharathidasan University of Big Data Analytics paper? Here is the previous year question paper from Bharathidasan University. This is the original question paper of Big Data Analytics exam conducted in Nov 2021. Feel free to download the question paper from here and use it to prepare for your upcoming exams.



S.No. 4340

P 20 MCAE 7

(For candidates admitted from 2020–2021 onwards)

M.C.A DEGREE EXAMINATION, NOVEMBER 2021.

Computer Applications — Elective

BIG DATA ANALYTICS

Time : Three hours

Maximum : 75 marks

SECTION A — (10 2 = 20)

Answer ALL questions.

1.
What is big data analytics?

2.
What is Vs?

3.
Define Data Identification.

4.
Define Provenance.

5.
Define Data Marts.

6.
What is Ad-hoc Reports?

7.
Define SCV Principle.

8.
What is distributed data processing?

9.
What are the types of NOSQL storage devices?

10. Define A/B Testing.

SECTION B — (5 5 = 25)

Answer ALL questions, choosing either (a) or (b).

11. (a) Explain different types of Data.

Or

(b) Define the term digitization and explain with example.

12. (a) Write a short notes on
(i) Data Procurement
(ii) Privacy.

Or

(b) What is Data Visualization? And explain it.

13. (a) Write a short note on clusters.

Or

(b) Differentiate data marts and data warehouses.

14. (a) Define processing workloads and explain its types.

Or

(b) Write a short note on ESP.

15. (a) What are the types of visual analysis? And explain spatial data mapping.

Or

(b) Explain about correlation.

SECTION C — (3 10 = 30)

Answer any THREE Questions.

16. Explain different types of Data Characteristics.

17. Explain in detail about Data Analysis and its classifications.

18. Write the difference between OLTP and OLAP.

19. Define map reduce and explain it in detail.

20. What is Statistical Analysis? And explain its types in detail.





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