Download GTU BE/B.Tech 2019 Winter 7th Sem New 2171607 Big Data Analytics Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 7th Sem New 2171607 Big Data Analytics Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VII (New) EXAMINATION ? WINTER 2019
Subject Code: 2171607 Date: 23/11/2019

Subject Name: Big Data Analytics
Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.

MARKS

Q.1 (a) Define Big Data. Enlist its importance over traditional database system. 03
(b) List out 4 V?s and Explain in detail. 04
(c) List out the applications of Big data and explain them in details. 07
Q.2 (a) Implement Join operation using Hive. 03
(b) List out key elements of Ingress and Egress and explain them in detail. 04
(c) Define HDFS. Discuss the HDFS architecture and HDFS commands in
brief.
07
OR
(c) Write a short note on NoSQL databases. List the differences between
NoSQL and relational databases.
07
Q.3 (a) What is Zookeeper? List the benefits of it. 03
(b) Explain Aggregation and Indexing for MongoDB. 04
(c) What are the components of Spark? Also state the features of Spark. 07
OR
Q.3 (a) Explain in detail: Input and Output of MapReduce. 03
(b) Write a short note on Pig. 04
(c) Explain CRUD operations in MongoDB. 07
Q.4 (a) Explain any three HiveQL DDL command with its syntax and example. 03
(b) What is HBase? List out and explain the basic concepts of HBase in detail. 04
(c) Explain Replication and scaling feature of MongoDB. 07
OR
Q.4 (a) Explain the following commands of HDFS:
i) copyFromLocal ii) setrep iii) checksum
03
(b) As per your point of view, How Big data analytics can be useful in
development of smart cities?
04
(c) Explain working of Hive with proper steps and diagram. 07
Q.5 (a) Explain Metastore in Hive. 03
(b) Differentiate: Apache pig Vs Map Reduce. 04
(c) What are the problems related to Map Reduce data storage? How Apache
Spark solves it using Resilient Distributed Dataset? Explain RDDs in
detail.
07
OR
Q.5 (a) Write a MapReduce code for Word Count. 03
(b) "Moving Computation is Cheaper than Moving Data", Justify the
sentence.
04
(c) Explain Map-Reduce framework in detail. Draw the architectural diagram
for Physical Organization of Computer Nodes.
07

*************
FirstRanker.com - FirstRanker's Choice