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Thanesar, Haryana, India 136119
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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSPC302 Big Data Analytics

    Prerequisites:

    No prerequisites for this course

    Course Nature: PC
    Objectives:
  1. Understand the concepts, challenges, and applications of big data.
  2. Gain knowledge of various concepts and techniques in data stream mining.
  3. Learn about big data storage technologies and algorithms for big data processing.
    4. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

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    Outcomes

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    1. Analyze the attributes and associated issues of big data and propose solutions.
    2. Design efficient algorithms for mining different patterns from data streams.
    3. Develop big data processing pipelines using various big data technologies.
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    Reference Books

    1. Baesens, Bart: Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications, John Wiley & Sons, 2014.

    2. Gama, Joao: Knowledge Discovery from Data Streams, CRC Press, 2010.

    3. Aggarwal, Charu C. (Ed.): Data Streams: Models and Algorithms, Springer, 2007.

    4. Deroos, Dirk et al.: Hadoop for Dummies, Dreamtech Press, 2014.

    5. Lam, Chuck: Hadoop in Action, Simon and Schuster, 2010.