1. Naveen Kumar, Big Data Statistics 2025: Growth and Market Data, 13.11.2024.

2. Nazariy Hazdun, Big data in education: Reshaping learning with analytics, 14.01.2025.

3. Wang Y (2016) Big opportunities and big concerns of big data in education. TechTrends 60(4):381–384.

4. Daniel BK (2017) Big data in higher education: the big picture. In Big data and learning analytics in higher education, Springer, Cham. p 19–28.

5. Drigas AS, Leliopoulos P (2014) The use of big data in education. Int J Comput Sci Issues 11(5):58.

6. Sghir N, Adadi A, Lahmer M (2023) Recent advances in predictive learning analytics: a decade systematic review (2012–2022). Educ Inform Technol 28(7):8299–8333.

7. Mkrttchian V, Gamidullaeva L, Finogeev A, Chernyshenko S, Chernyshenko V, Amirov D et al. (2021) Big data and internet of things (IoT) technologies’ influence on higher education: current state and future prospects. Int J Web-Based Learn Teach Technol 16(5):137–157.

8. Talan T, Demirbilek M (2023) Bibliometric analysis of research on learning analytics based on web of science database. Inform Educ 22(1):161–181.

9. Dresner Advisory Services. (2017). Big data adoption: State of the market. ZoomData. Retrieved from https://www.zoomdata.com/master-class/state-market/big-data-adoption.

10. Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019.

11. Ahmed, E., Yaqoob, I., Hashem, I. A. T., Shuja, J., Imran, M., Guizani, N., & Bakhsh, S. T. (2018). Recent advances and challenges in mobile big data. IEEE Communications Magazine, 56(2), 102–108. China: East China Normal University. https://doi.org/10.1109/MCOM.2018.1700294.

12. Wu, P. J., & Lin, K. C. (2018). Unstructured big data analytics for retrieving e-commerce logistics knowledge. Telematics and Informatics, 35(1), 237–244. https://doi.org/10.1016/j.tele.2017.11.004.

13. Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547–578. https://doi.org/10.1007/10257-017-0362-y.

14. Mohammadpoor, M., & Torabi, F. (2018). Big Data analytics in oil and gas industry: An emerging trend. Petroleum. In press. https://doi.org/10.1016/j.petlm.2018.11.001.

15. Neilson, A., Daniel, B., & Tjandra, S. (2019). Systematic review of the literature on big data in the transportation Domain: Concepts and Applications. Big Data Research. In press. https://doi.org/10.1016/j.bdr.2019.03.001.

16. Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 143, 23–37. https://doi.org/10.1016/j.compag.2017.09.037.

17. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming–a review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023.

18. Williamson, B. (2017). Big Data in Education: The Digital Future of Learning, Policy and Practice. London: SAGE Publications Ltd.

19. https://www.harpercollins.com/products/learning-with-big-data-viktor-mayer-schonberger-kenneth-cukier.