Big Data

The Big Data is the most famous buzzword around the globe.  The Big Data captures & dominates the global market, and reaches wider audience, namely academician, IT industries, various scientific & many businesses organizations. How does the Big Data capture the global market in a few years, approximately, from 2009. It’s amazing to know that the Big Data can boost 60% profit margin of a business. Besides, Indeed.com has published that the most number of currently opening jobs are data scientist, data analyst, data manager, and Big Data Engineer with highest package (CTC) ever. This shows that doing research on the Big Data technology gives you a career growths as well as future direction. The field of interested topics of Big Data are enlisted below:

  • Big Data analytics.
  • NoSQL
  • Hadoop stack
  • MapReduce
  • HDFS
  • Metadata
  • Big Graph

Let’s know what is Big Data from here.

Faculty Members:

Student Members:

  • Dipayan Dev, Currently working as Data Engineer at Wallmart.
  • Dhananjay Kumar Singh, Pursuing PhD at NIT Durgapur.
  • Sabuzima Nayak, M.Tech. and Pursuing PhD at NIT Silchar.
  • Prakash Jha, Working at Goldman Sachs, India.
  • Navneet Gangwar, Pursuing MSc at IISc, Bangalore, India.
  • Himanshu Mani Tripathi, working at MathWorks, India.
  • Tareq Bin Ahammed,  Pursuing MSc at Jahangirnagar University, Bangladesh.
  • Samim Jahin, Working at Amazon, India.

Publications:

[1] R. Patgiri and A. Ahmed, “Big Data: The V’s of the Game Changer Paradigm,” 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016, pp. 17-24, doi: 10.1109/HPCC-SmartCity-DSS.2016.0014.

[2] Dev, D., Patgiri, R. Dr. Hadoop: an infinite scalable metadata management for Hadoop—How the baby elephant becomes immortal. Frontiers Inf Technol Electronic Eng 17, 15–31 (2016). https://doi.org/10.1631/FITEE.1500015.

[3] D. Dev and R. Patgiri, “Performance evaluation of HDFS in big data management,” 2014 International Conference on High Performance Computing and Applications (ICHPCA), 2014, pp. 1-7, doi: 10.1109/ICHPCA.2014.7045330.

[4] Ripon Patgiri, Sabuzima Nayak and Samir Kumar Borgohain, “Role of Bloom Filter in Big Data Research: A Survey” International Journal of Advanced Computer Science and Applications(ijacsa), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091193.

[5] D. Dev and R. Patgiri, “HAR+: Archive and metadata distribution! Why not both?,” 2015 International Conference on Computer Communication and Informatics (ICCCI), 2015, pp. 1-6, doi: 10.1109/ICCCI.2015.7218119.

[6] Dev D., Patgiri R. (2016) A Survey of Different Technologies and Recent Challenges of Big Data. In: Nagar A., Mohapatra D., Chaki N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_56.

[7] Patgiri R. (2018) Issues and Challenges in Big Data: A Survey. In: Negi A., Bhatnagar R., Parida L. (eds) Distributed Computing and Internet Technology. ICDCIT 2018. Lecture Notes in Computer Science, vol 10722. Springer, Cham. https://doi.org/10.1007/978-3-319-72344-0_25.

[8] Patgiri R., Dev D., Ahmed A. (2018) dMDS: Uncover the Hidden Issues of Metadata Server Design. In: Sa P., Sahoo M., Murugappan M., Wu Y., Majhi B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-10-3373-5_53.

[9] Dhananjay Kumar Singh, Ripon Patgiri, “Big Graph : Tools, Techniques, Issues, Challenges and Future Directions“, Sixth International Conference on Advances in Computing and Information Technology (ACITY 2016), vol. 6(9), pp 119 – 128, 2016, AIRCC Publishing Corporation.

[10] Ripon Patgiri, “A Taxonomy on Big Data: Survey”, eprint 1808.08474,  2019, arXiv, cs.DC, https://arxiv.org/abs/1808.08474.

[11] Prakash Jha, Navneet Gangwar, Himanshu Mani Tripathi, Tareq Bin Ahammed, Samim Jahin and Ripon Patgiri, “AxomDB: A Distributed, Scalable In-Memory Database System“, 2021 19th OITS International Conference on Information Technology (OCIT), 16-18 December 2021.

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