Q2. Explain characteristics of Big Data.

This is question 2 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

BIG DATA ANALYTICS (Department Elective-II) | B.E. Semester 7 Summer 2018 | GTU Papers

Q: Q1. What is Big Data? Explain how big data processing differs from distributed processing.

This is question 1 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q1. List various application of big data. How it can be used to improve business for a superstore.

This is question 1 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q1. Explain core architecture of Hadoop with suitable block diagram. Discuss role of each component in detail.

This is question 1 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q2. Explain Avro data serialization technique in MapReduce.

This is question 2 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q2. What is Hadoop Ecosystem? Discuss various components of Hadoop Ecosystem.

This is question 2 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q2. What is data serialization? With proper examples discuss and differentiate structured, unstructured and semi-structured data. Make a note on how type of data affects data serialization.

This is question 2 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q3. Explain following commands with syntax and at least one example of each. (1) copyFromLocal (2) showing the content of outputfile.

This is question 3 (3 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q3. Explain “Map Phase” and “Combiner Phase” in MapReduce.

This is question 3 (4 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Q: Q3. Write Map Reduce steps for counting occurrences of specific numbers in the input text file(s). Also write the commands to compile and run the code.

This is question 3 (7 marks) from the GTU BIG DATA ANALYTICS (Department Elective-II) BE Summer 2018 question paper. Subject code: 2171607.

Questions25

What is Big Data? Explain how big data processing differs from distributed processing.

[3 marks]

List various application of big data. How it can be used to improve business for a superstore.

[4 marks]

Explain core architecture of Hadoop with suitable block diagram. Discuss role of each component in detail.

[7 marks]

Explain Avro data serialization technique in MapReduce.

[3 marks]

Explain characteristics of Big Data.

[4 marks]

What is Hadoop Ecosystem? Discuss various components of Hadoop Ecosystem.

[7 marks]

What is data serialization? With proper examples discuss and differentiate structured, unstructured and semi-structured data. Make a note on how type of data affects data serialization.

[7 marks]

Explain following commands with syntax and at least one example of each. (1) copyFromLocal (2) showing the content of outputfile.

[3 marks]

Explain “Map Phase” and “Combiner Phase” in MapReduce.

[4 marks]

Write Map Reduce steps for counting occurrences of specific numbers in the input text file(s). Also write the commands to compile and run the code.

[7 marks]

List various configuration files used in Hadoop Installation. What is use of mapred-site.xml?

[3 marks]

Explain “Shuffle & Sort” phase and “Reducer Phase” in MapReduce.

[4 marks]

Write Map Reduce steps for counting sum of numbers in the input text file(s). Also write the commands to compile and run the code.

[7 marks]

What is Zookeeper? What are the benefits of Zookeeper?

[3 marks]

Draw architecture of APACHE PIG and explain in short.

[4 marks]

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

[7 marks]

What is HBase? Write a query to create a table in HBase.

[3 marks]

Discuss role of Data node and Name node in HDFS.1

[4 marks]

Draw and explain Architecture of APACHE HIVE. Explain various data insertion techniques in HIVE with example. [P.T.O]

[7 marks]

Explain following in brief with respect to Mongo DB : 1) Collections and documents 2) Indexing and retrieval

[3 marks]

Write difference between MangoDB and Hadoop.

[4 marks]

What is NoSQL database? List the differences between NoSQL and relational databases. Explain in brief various types of NoSQL databases in practice.

[7 marks]

Explain scaling in MangoDB.

[3 marks]

Explain CRUD operations in MongoDB.

[4 marks]

What is Resilient Distributed Dataset in Apache Spark? Explain in detail. Make a note on why RDD is better than Map Reduce data storage?

[7 marks]

BIG DATA ANALYTICS (Department Elective-II) — Summer 2018

Questions25