GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VII(NEW) EXAMINATION - SUMMER 2019
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Subject Code:2180710 Date:17/05/2019Subject Name:Big Data Analytics
Time:10:30 AM TO 01:00 PM Total Marks: 70
Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
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Q.1
- What is Big Data? List Advantages of it. 03
- Explain characteristics of Big Data. 04
- What is the role of a “combiner” in the Map Reduce framework? Explain with the help of an example. 07
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Q.2
- What is Name node & Data node in Hadoop Architecture. 03
- Explain traditional stream processing Architecture. 04
- 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
- Draw Map Reduce Execution pipeline architecture. 03
- Explain working of Hive with proper steps and diagram. 04
- What do you mean by HiveQL Data Definition Language? Explain any three HiveQL DDL command with its syntax and example. 07
OR
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- What is Zookeeper? List the Benefits and Limitations of it. 03
- Explain Storage mechanism in HBase. 04
- Explain the HiveQL-Select-Order By with suitable example. 07
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Q.4
- Explain the following spark components 1) MLib ii) GraphX 03
- What is RDD in Apache Spark? Make a note on why RDD is better than Map Reduce data storage? 04
- Explain Feature Extraction and Transformation in detail. 07
OR
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- What is Apache Spark? What are the advantages of using Apache Spark over Hadoop? 03
- Explain in brief four major libraries of Apache Spark. 04
- Compare: Map Reduce v/s Apache PIG. Explain in brief four major libraries of Apache Spark. 07
Q.5
- Compare: SQL v/s NoSQL. 03
- Explain MongoDB shell and how to run the shell. 04
- What is Mongo DB? Explain in brief key features of Mongo DB. Show basic CRUD operations in Mongo DB with proper example. 07
OR
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- Why NoSQL? Explain Advantages & Disadvantages. 03
- Write a note on Use of NoSQL in Industry. 04
- Explain Mongo DB-Create Database & Collection and Drop-Database & Collection. 07
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