Gujarat Technological UniversitySummer 2026 examination

GTU 3161607 Big Data Analytics Summer 2026 Question Paper & PDF

B.E. · IT Engineering · Semester 6 · Subject code 3161607
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
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Q.1

14 Marks
(a)
3 marks
Define Big Data. Enlist its importance over traditional database system.
(b)
4 marks
Explain characteristics of Big Data.
(c)
7 marks
Explain Hadoop components with diagram.

Q.2

14 Marks
(a)
3 marks

What is distributed file system? Explain key features of Hadoop Distributed File System.

(b)
4 marks
Explain working of reduce phase of MapReduce with an example.
(c)
7 marks

Define HDFS. Discuss the HDFS Architecture and HDFS commands in brief.

(c)
7 marks

List out the features of NoSQL. Explain types of NoSQL databases in brief.

Q.3

14 Marks
(a)
3 marks
Define the following terms for Big Data:
iStructured data
iiSemi structured data
iiiUnstructured data.
(b)
4 marks
Explain Security in Hadoop.
(c)
7 marks
How Big data helps stock market analysis.
(a)
3 marks
Write a MapReduce code for Word Count.
(b)
4 marks
List the differences between NoSQL and relational databases.
(c)
7 marks
Explain stream data architecture in detail.

Q.4

14 Marks
(a)
3 marks
Differentiate Master-slave Vs peer-to-peer.
(b)
4 marks
Mention usefulness of Pig. What are key features of Pig?
(c)
7 marks
Explain Map Reduce types and formats in detail.
(a)
3 marks
Explain any three HiveQL DDL command with its syntax and example.
(b)
4 marks
Describe application of RTAP.
(c)
7 marks
How Big data helps Health care domain.

Q.5

14 Marks
(a)
3 marks
Describe important features of Apache Spark.
(b)
4 marks
What is Zookeeper? Write functions of it.
(c)
7 marks
Justify: “SPARK is faster than MapReduce”.
(a)
3 marks
How Implicit filtering is differing from explicit filtering?
(b)
4 marks
Explain the components of SPARK.
(c)
7 marks
Explain the architecture and features of HIVE.

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About this paper

Official Gujarat Technological University (GTU) examination paper for Big Data Analytics (Summer 2026, B.E. · IT Engineering, Sem 6). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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