Download PTU B.Tech 2020 March CSE-IT 7th and 8th Sem BTCS 914 Big Data Question Paper

Download PTU (I.K. Gujral Punjab Technical University Jalandhar (IKGPTU) ) BE/BTech CSE/IT (Computer Science And Engineering/ Information Technology) 2020 March 7th and 8th Sem BTCS 914 Big Data Previous Question Paper

1 | M-71906 (S2)-918
Roll No. Total No. of Pages : 02
Total No. of Questions : 18
B.Tech.(CSE) (2012 to 2017 E-III) (Sem.?7,8)
BIG DATA
Subject Code : BTCS-914
M.Code : 71906
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
Explain the following in brief :
1. Classification
2. Data Mart
3. No SQL
4. RDF
5. Thread pooling
6. Stream Processing
7. Data Node and Block
8. Map Reduce
9. Explain Meta Data related to NameNode
10. Define Large Data Sets and also discuss size of those.

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1 | M-71906 (S2)-918
Roll No. Total No. of Pages : 02
Total No. of Questions : 18
B.Tech.(CSE) (2012 to 2017 E-III) (Sem.?7,8)
BIG DATA
Subject Code : BTCS-914
M.Code : 71906
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
Explain the following in brief :
1. Classification
2. Data Mart
3. No SQL
4. RDF
5. Thread pooling
6. Stream Processing
7. Data Node and Block
8. Map Reduce
9. Explain Meta Data related to NameNode
10. Define Large Data Sets and also discuss size of those.

2 | M-71906 (S2)-918
SECTION-B
11. Explain GPFS file system in detail.
12. Write a short note on HBSE.
13. Write a short note on JSON Store.
14. Define and compare JAQL and PIG languages of data processing.
15. Compare the Stream and Batch processing in Hadoop Eco System.

SECTION-C
16. Explain the Hadoop Architecture in detail using suitable diagram.
17. Discuss different distributed file system used for large data sets.
18. How stream processing handled in Hadoop and which tools used?






NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any
page of Answer Sheet will lead to UMC against the Student.
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This post was last modified on 21 March 2020