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Download GTU BE/B.Tech 2019 Summer 8th Sem New 2180710 Big Data Analytics Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 8th Sem New 2180710 Big Data Analytics Previous Question Paper

This post was last modified on 20 February 2020

GTU BE 2019 Summer Question Papers || Gujarat Technological University


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GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VII(NEW) EXAMINATION - SUMMER 2019

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Subject Code:2180710 Date:17/05/2019
Subject Name:Big Data Analytics
Time:10:30 AM TO 01:00 PM Total Marks: 70

Instructions:

  1. Attempt all questions.
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  3. Make suitable assumptions wherever necessary.
  4. Figures to the right indicate full marks.

Q.1

  1. What is Big Data? List Advantages of it. 03
  2. Explain characteristics of Big Data. 04
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  4. What is the role of a “combiner” in the Map Reduce framework? Explain with the help of an example. 07

Q.2

  1. What is Name node & Data node in Hadoop Architecture. 03
  2. Explain traditional stream processing Architecture. 04
  3. What is data serialization? With proper examples discuss and differentiate structured, unstructured and semi-structured data. 07

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    OR
    Difference between HDFS and HBase. 07

Q.3

  1. Draw Map Reduce Execution pipeline architecture. 03
  2. Explain working of Hive with proper steps and diagram. 04
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  4. What do you mean by HiveQL Data Definition Language? Explain any three HiveQL DDL command with its syntax and example. 07
    OR
  1. What is Zookeeper? List the Benefits and Limitations of it. 03
  2. Explain Storage mechanism in HBase. 04
  3. Explain the HiveQL-Select-Order By with suitable example. 07
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Q.4

  1. Explain the following spark components 1) MLib ii) GraphX 03
  2. What is RDD in Apache Spark? Make a note on why RDD is better than Map Reduce data storage? 04
  3. Explain Feature Extraction and Transformation in detail. 07
    OR
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  1. What is Apache Spark? What are the advantages of using Apache Spark over Hadoop? 03
  2. Explain in brief four major libraries of Apache Spark. 04
  3. Compare: Map Reduce v/s Apache PIG. Explain in brief four major libraries of Apache Spark. 07

Q.5

  1. Compare: SQL v/s NoSQL. 03
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  3. Explain MongoDB shell and how to run the shell. 04
  4. What is Mongo DB? Explain in brief key features of Mongo DB. Show basic CRUD operations in Mongo DB with proper example. 07
    OR
  1. Why NoSQL? Explain Advantages & Disadvantages. 03
  2. Write a note on Use of NoSQL in Industry. 04
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  4. Explain Mongo DB-Create Database & Collection and Drop-Database & Collection. 07

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