JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV BIG DATA ANALYTICS Previous Question Paper (December - 2019 - R15)
Part A is compulsory. Part B consists of 5 Units. Answer any one full question from each unit.
Part A
What is the importance of syndicate services?
Answer
Syndicate services provide access to aggregated, industry-specific data and research reports collected by third-party organizations. Their importance lies in offering organizations cost-effective, high-quality market intelligence and benchmarking data that would be too expensive or time-consuming to collect independently.
What is the need of data preprocessing?
Answer
Data preprocessing is essential because raw data is often incomplete, inconsistent, and contains noise or errors. It improves data quality by handling missing values, removing duplicates, and normalizing formats, which directly enhances the accuracy, reliability, and performance of analytical models and machine learning algorithms.
What is a white paper?
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What are emerging trends in knowledge management process?
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What is descriptive analytics in Big Data Analytics?
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What is the importance of outlier detection?
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What is machine learning?
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Explain about supervised learning.
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Why do we use data visualization?
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What is the role of Tableau in Data Visualization?
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Part B
What constitutes healthy living? Explain.
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Explain in detail about sources of secondary data.
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Discuss the definition of ‘accidents and emergencies’ and the events that fall in the category of accidents or emergencies.
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What are the characteristics of quality data?
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Discuss about missing data imputation in detail.
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What are standard reporting templates? Give some examples of standardized templates as used in organizations.
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Compare Scala and Impala.
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Explain the Vroom-Yetton-Jago decision model.
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Describe the journey from relational databases to big data.
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What is CAP theorem? Explain with a neat diagram.
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Explain concepts of graph databases and columns based databases.
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Illustrate extract-transform-load process.
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What are various types of machine learning tasks?
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How to explore the chosen algorithms for more accuracy?
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What is the significance of sampling in prediction?
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Explain any one statistical method for hypothesis testing.
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Discuss about enhancing your data and segmenting your data in Tableau.
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Explain about extraction of data and the workspace of Tableau.
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