Scalable Management of Terabytes of In-Flight Connectivity Data Using SQL Server

© 2024 by IJCTT Journal
Volume-72 Issue-5
Year of Publication : 2024
Authors : Vijay Panwar
DOI :  10.14445/22312803/IJCTT-V72I5P120

How to Cite?

Vijay Panwar, "Scalable Management of Terabytes of In-Flight Connectivity Data Using SQL Server," International Journal of Computer Trends and Technology, vol. 72, no. 5, pp. 171-176, 2024. Crossref,

This paper investigates the scalability and efficiency of SQL Server in managing vast amounts of In-Flight Connectivity (IFC) data. With the exponential growth in data generated by modern aircraft systems, there is a crucial need to employ robust and scalable database management systems that can handle terabytes of data effectively. The research explores various SQL Server configurations and techniques that optimize performance, reliability, and data integrity in the context of IFC data management.

SQL Server, In-Flight Connectivity (IFC), Data Management, Terabyte-scale Databases, Database Scalability, Big Data, Performance Optimization, Real-time Data Processing, Aviation Data Systems, Data Security, Database Partitioning, Indexing Strategies, Data Compression Techniques, Query Performance, Transaction Management.


[1] J. Smith, The Evolution of Database Technology, Cambridge University Press, 2020.
[2] L. Johnson, and P. Turner, “Enhancements in SQL Server Performance,” Journal of Database Management, vol. 34, no. 2, pp. 58-76, 2021.
[3] F. Wang, H. Liu, and M. Zhou, “AI Applications in Database Management: A Review,” Artificial Intelligence Review, vol. 55, no. 1, pp. 333-356, 2022.
[4] A. Davis, and S. Kim, Big Data Analytics in Aviation, Elsevier, 2021.
[5] H. Thompson, “The Impact of Indexing on Database Scalability,” Proceedings of the 2020 International Conference on Database Systems, pp. 142-153, 2020.
[6] N. Roberts, “Using Machine Learning to Improve Data Retrieval Operations,” Journal of Machine Learning Applications, vol. 12, no. 4, pp. 450-467, 2019.
[7] Y. Lee, and W. Sung, “Comparing NoSQL and SQL Databases in Handling Big Data,” Big Data Research, vol. 8 no. 3, pp. 204-215, 2021.
[8] G. Chen, “The Role of Cloud Computing in Database Scalability,” Cloud Computing Journal, vol. 17, no. 2, pp. 89-102, 2022.
[9] T. Morris, “Database Security: Theories and Practices,” Information Security Journal, vol. 29, no. 1, pp. 22-34, 2020.
[10] E. Becker, “Data Management for Large Scale Systems,” Springer, 2019.
[11] J. Oliver, “Real-Time Data Processing in SQL Server,” Database Management Today, vol. 31, no. 5, pp. 78-83, 2021.
[12] V. Kumar, and A. Rajan, “Implementing AI in Database Environments: Challenges and Solutions,” AI & Society, vol. 37, no. 1, pp. 101-119, 2022.
[13] L. Zhao, “Enhancing Data Integrity in Database Systems,” Journal of Information Integrity, vol. 15, no. 4, pp. 234-245, 2020.
[14] B. Norton, “SQL Server Performance Tuning,” Database Administrator's Guide, vol. 45, no. 7, pp. 56-65, 2021.
[15] D. Hughes, and D. Patterson, “Database Upgrades: Best Practices and Considerations,” Technology Management, vol. 42, no. 3, pp. 123-134, 2019.
[16] P. Wright, “The Effectiveness of Data Partitioning,” Journal of Database Best Practices, vol. 26, no. 2, pp. 310-326, 2020.
[17] L. Greenfield, “The future of In-Flight Connectivity,” Aerospace Technology Review, vol. 40, no. 11, pp. 48-52, 2018.
[18] R. Parker, N. Lane, “SQL Server on Azure: Evaluating performance and Cost,” Cloud Services Review, vol. 9, no. 1, pp. 77- 88, 2022.
[19] H. Edwards, “The Application of Neural Networks in Databases,” Proceedings of the 2019 Symposium on Neural Networks and Databases, pp. 198-209, 2019.
[20] T. Simpson, “Database Management in the Aviation Sector,” Aviation Data News, vol. 5, no. 4, pp. 32-41, 2021.
[21] M. Li, and Y. Zhou, “Data Security Measures in SQL databases,” Journal of Cybersecurity and Data Protection, vol. 6, no. 3, pp. 234-247, 2020.
[22] R. Mitchell, “Building Scalable Systems with SQL Server,” System Architectures, vol. 22, no. 6, pp. 112-128, 2021.
[23] C. Anderson, “Innovations in Real-Time Data Analytics,” Technology Innovators, vol. 18, no. 2, pp. 50-59, 2022.
[24] K. Harper, “SQL Server for High-Velocity Data,” Journal of High-Speed Databases, vol. 10, no. 1, pp. 10-24, 2019.