Q1. Explain Five P’s of Big Data in brief.

This is question 1 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q1. Explain Hadoop components with diagram.

This is question 1 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q2. Describe Map and Reduce phases of Map Reduce.

This is question 2 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q3. What is RDD? Explain RDD operations in detail.

This is question 3 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Big Data Analytics | B.E. Semester VII Summer 2019 | GTU Papers

Q: Q1. What is Big Data? Explain characteristics of Big Data.

This is question 1 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q: Q2. Define the following terms for Big Data: i. Structured data ii. Semi structured data iii. Unstructured data.

This is question 2 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q: Q2. Define HDFS. Explain HDFS Architecture with diagram.

This is question 2 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q: Q2. Explain storage mechanism of HBase with an example. List out the features of HBase

This is question 2 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q: Q3. Explain CREATE TABLE statement of HIVE with an example.

This is question 3 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Q: Q3. Write the use and syntax of following HDFS commands: i. mkdir ii. chown iv. put iv. copyToLocal

This is question 3 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2019 question paper. Subject code: 2171607.

Questions25

What is Big Data? Explain characteristics of Big Data.

[3 marks]

Explain Five P’s of Big Data in brief.

[4 marks]

Explain Hadoop components with diagram.

[7 marks]

Define the following terms for Big Data: i. Structured data ii. Semi structured data iii. Unstructured data.

[3 marks]

Describe Map and Reduce phases of Map Reduce.

[4 marks]

Define HDFS. Explain HDFS Architecture with diagram.

[7 marks]

Explain storage mechanism of HBase with an example. List out the features of HBase

[7 marks]

Explain CREATE TABLE statement of HIVE with an example.

[3 marks]

Write the use and syntax of following HDFS commands: i. mkdir ii. chown iv. put iv. copyToLocal

[4 marks]

What is RDD? Explain RDD operations in detail.

[7 marks]

Discuss the functions of Job Tracker and Task Tracker.

[3 marks]

Explain Four V’s of Big Data.

[4 marks]

Explain Apache Pig architecture and its components with diagram.

[7 marks]

What is Zookeeper? Write functions of it.

[3 marks]

Explain the components of SPARK.

[4 marks]

Discuss big data applications for smart city project.

[7 marks]

Write down the features of HDFS.

[3 marks]

List out the differences between Map Reduce and SPARK.

[4 marks]

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

[7 marks]

Define: Term Frequency and Inverse Document Frequency.

[3 marks]

How RDBMS is differ from HBase?

[4 marks]

Explain the architecture of HIVE. List out the features of HIVE.

[7 marks]

Explain find() method of MongoDB with an example.

[3 marks]

Discuss Machine Learning with MLlib in SPARK.

[4 marks]

Explain CRUD operations of MongoDB.

[7 marks]

BIG DATA ANALYTICS (Department Elective-II) — Summer 2019

Questions25

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