JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD MCA 2019 BIG DATA ANALYTICS Previous Question Paper (April/May - 2019 - R15)
This question paper contains two parts A and B. Part A is compulsory which carries 25 marks. Part B consists of 5 Units. Answer any one full question from each unit.
Part A
Differentiate between distributed computing and parallel computing.
Answer
Parallel computing involves multiple processors working simultaneously on a single task by dividing it into smaller sub-tasks on a shared memory system, focusing on increasing computational speed. In contrast, distributed computing involves multiple autonomous computers connected over a network, each with its own local memory, working together to solve a common problem, focusing on scalability and resource sharing across geographically dispersed systems.
Give an account on any two data analytical tools.
Answer
Two prominent data analytical tools are:
- Apache Spark: An open-source, distributed computing system designed for fast processing of large-scale data. It supports in-memory processing, which significantly accelerates iterative algorithms and interactive data analysis compared to disk-based systems.
- Tableau: A powerful business intelligence and data visualization tool. It allows users to connect to various data sources, perform complex data transformations, and create interactive dashboards to uncover insights without requiring extensive programming knowledge.
Justify HDFS’s “high availability” property.
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Compare RDBMS and Hadoop.
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List the types of applications for mobile analytics.
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Part B
Elaborate on open source analytics tools.
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Write short notes on:
structuring big data
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5V’s of big data
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Describe types of big data analytics with example.
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Explain the challenges of analytical tools
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How to develop an analytical team? Discuss briefly.
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Explain HDFS Architecture with a neat diagram.
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Explain the following:
Storing Big Data with HBase.
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Combining Hbase and HDFS.
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How NoSQL is used for big data processing and analytics?
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What are HDFC Daemons?
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List and explain the role of YARN in big data analytics.
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With an example explain sentiment analysis in social media.
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What do you know about opinion mining and text mining? Give a case study to explain the same.
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