Q3. Differentiate followings:

This is question 3 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q3. Pig vs. MapReduce (ii) HDFS vs. Hbase

This is question 3 (null marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Big Data Analytics | B.E. Semester VII Winter 2020 | GTU Papers

Q: Q1. What are the basic challenges with Big Data? How does Hadoop help to overcome these challenges?

This is question 1 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q1. Mention few applications where big data analytics are useful. Describe in brief.

This is question 1 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q1. Which components (daemons) of Hadoop are in execution when we execute Hadoop after its installation? Explain working of any three of these components in brief.

This is question 1 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q2. What is distributed file system? Explain key features of Hadoop Distribted File System.

This is question 2 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q2. What is the importance of HBase? Describe components of HBase architecture in brief with necessary diagram.

This is question 2 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q2. Explain working of MapReduce with reference to ‘WordCount’ program for a file having input as below: Red apple Red wine Green apple Green peas Pink rose Blue whale Blue sky Green city Clean city

This is question 2 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q3. What is role of Zookeeper? How it helps in monitoring a cluster?

This is question 3 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Q: Q3. Describe iterative and interactive operations on MapReduce and Spark RDD.

This is question 3 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Winter 2020 question paper. Subject code: 2171607.

Questions25

What are the basic challenges with Big Data? How does Hadoop help to overcome these challenges?

[3 marks]

Mention few applications where big data analytics are useful. Describe in brief.

[4 marks]

Which components (daemons) of Hadoop are in execution when we execute Hadoop after its installation? Explain working of any three of these components in brief.

[7 marks]

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

[3 marks]

What is the importance of HBase? Describe components of HBase architecture in brief with necessary diagram.

[4 marks]

Explain working of MapReduce with reference to ‘WordCount’ program for a file having input as below: Red apple Red wine Green apple Green peas Pink rose Blue whale Blue sky Green city Clean city

[7 marks]

What is role of Zookeeper? How it helps in monitoring a cluster?

[3 marks]

Differentiate followings:

[4 marks]

Pig vs. MapReduce (ii) HDFS vs. Hbase

[ marks]

Describe iterative and interactive operations on MapReduce and Spark RDD.

[7 marks]

What is Data Serialization? Explain advantages and drawbacks of Hadoop serialization.

[3 marks]

Mention usefulness of Pig. What are key features of Pig?

[4 marks]

Explain components of Hive architecture. Also describe working of Hive with suitable diagram.

[7 marks]

Explain Hadoop commands to move the data in and out of HDFS.

[3 marks]

What is NewSQL? Mention its basic characteristics. How it is different from NoSQL?

[4 marks]

Categorize types of NoSQL databases with suitable examples.

[7 marks]

Describe important features of Apache Spark.

[3 marks]

What is NoSQL? Differentiate NoSQL with SQL.

[4 marks]

Explain functionalities of MLib in detail.1

[7 marks]

What is MongoDB? Explain the important features of MongoDB.

[3 marks]

Explain important components of Spark with necessary diagram.

[4 marks]

Differentiate MongoDB with RDBMS. Compare advantages and drawbacks of both.

[7 marks]

Mention advantages of using NoSQL databases.

[3 marks]

Explain following terms with reference to MongoDB Query Language: Database, Collection, Document, Datatypes

[4 marks]

Explain following CRUD operations on MongoDB with necessary syntax or example: Create a database, Drop a database, Create and display collection, Insert a document in collection, Finding document from a collection, Updating a document, Deleting a document

[7 marks]

BIG DATA ANALYTICS (Department Elective-II) — Winter 2020

Questions25

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