Cloud Database: Empowering Scalable and Flexible Data Management

Authors

  • Dr. A. Karunamurthy Associate Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author
  • M. Yuvaraj Student, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author
  • J. Shahithya Student, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author
  • V. Thenmozhi Student, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author

DOI:

https://doi.org/10.54368/qijirse.2.1.0007

Keywords:

Architectural Models, Big Data Analytics, Cloud Database, Cloud Computing, Data Security, Deployment Options, Elasticity, Flexibility, High Availability, Integration, Scalability

Abstract

This paper explores the concept of cloud database, which leverages the power of cloud computing to provide scalable and flexible data management solutions. It discusses the benefits, challenges, and considerations associated with adopting cloud databases, along with various architectural models and deployment options. The chapter also delves into the key features, such as elasticity, high availability, and data security, offered by cloud databases. Furthermore, it examines the role of cloud databases in modern applications, including their integration with other cloud services and their ability to support big data analytics. The chapter concludes by highlighting future trends and advancements in cloud database technologies.

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Published

2024/08/10

Issue

Section

Original Articles

How to Cite

Karunamurthy, A., Yuvaraj, M., Shahithya, J., & Thenmozhi, V. (2024). Cloud Database: Empowering Scalable and Flexible Data Management. Quing: International Journal of Innovative Research in Science and Engineering, 2(1), 1-23. https://doi.org/10.54368/qijirse.2.1.0007