GTU BE/B.Tech 2019 Winter Question Papers || Gujarat Technological University
Enrolment No.
Subject Code: 2171607
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GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER- VII (New) EXAMINATION — WINTER 2019
Subject Name: Big Data Analytics
Time: 10:30 AM TO 01:00 PM
Instructions:
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- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full 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 | ||
| (c) Explain in detail: Input and Output of MapReduce. | 07 | |
| Q.4 | (a) Write a short note on Pig. | 03 |
| (b) Explain CRUD operations in MongoDB. | 04 | |
| (c) Explain any three HiveQL DDL command with its syntax and example. | 07 | |
| Q.5 | (a) What is HBase? List out and explain the basic concepts of HBase in detail. | 03 |
| (b) Explain Replication and scaling feature of MongoDB. | 04 | |
| OR | ||
| (c) Explain the following commands of HDFS: i) copyFromLocal ii) setrep iii) checksum | 07 | |
| Q.5 | (a) As per your point of view, How Big data analytics can be useful in development of smart cities? | 03 |
| (b) Explain working of Hive with proper steps and diagram. | 04 | |
| (c) Explain Metastore in Hive. | 07 | |
| (a) Differentiate: Apache pig Vs Map Reduce. | 03 | |
| (b) What are the problems related to Map Reduce data storage? How Apache Spark solves it using Resilient Distributed Dataset? Explain RDDs in detail. | 04 | |
| OR | ||
| (c) Write a MapReduce code for Word Count. | 07 | |
| (a) "Moving Computation is Cheaper than Moving Data", Justify the sentence. | 03 | |
| (b) Explain Map-Reduce framework in detail. Draw the architectural diagram for Physical Organization of Computer Nodes. | 04 |
Date: 23/11/2019
Total Marks: 70
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