THE USE OF NOSQL TECHNOLOGIES FOR ANALYZING BIG DATA IN THE EDUCATION SYSTEM (STUDENTS’ ACADEMIC PERFORMANCE AND BEHAVIORAL DATA)
Keywords:
Big Data, NoSQL, SQL, Sharding, Replication, Optimization, Scalability, MongoDB, Cassandra.Abstract
This article investigates the challenges of horizontal scalability in traditional
Relational Database Management Systems (RDBMS) within Big Data environments and examines the effectiveness of NoSQL (Not Only SQL) databases as a solution to these challenges. The study analyzes various NoSQL architectural models, including Document-oriented, Key-Value, and Column-family databases, and proposes a new methodological framework for optimizing data read and write performance. Based on practical experiments, the effectiveness of data flow balancing algorithms has been demonstrated.
References
1. Sadalage P. J., Fowler M. *NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence*. – Addison-
Wesley, 2012. – URL: https://shorturl.at/ySmJB
2. White T. *Hadoop: The Definitive Guide*. – O'Reilly Media, Inc., 2015. – URL: https://shorturl.at/bboGv
3. Pramod J. et al. Analysis of Big Data Processing Performance: SQL vs NoSQL // *Journal of Computer Science and
Technology*. – 2024. – Vol. 14. – No. 2. – P. 112–125. – URL: https://shorturl.at/eHK68
4. O‘zbekiston Respublikasi Oliy attestatsiya komissiyasi (OAK) jurnallari talablariga mos keladigan axborot tizimlari
va ma’lumotlar bazalariga oid mahalliy ilmiy maqolalar hamda normativ-huquqiy manbalar. – URL: https://shorturl.at/0pIEf
5. 1C dasturlash fanini o‘qitishning nazariy, metodik va texnologik asoslarini tahlil qilish. – URL: https://devos.uz/article.php?id=3067
