Technology in Database

In today’s digital era, data has become an essential commodity that organizations use to make informed decisions. A reliable database management system is crucial in managing, processing, and analyzing vast amounts of data. Technological advancements have transformed database management systems, making them faster, more efficient, and more secure. Modern databases use a range of technologies, including cloud computing, artificial intelligence, and blockchain, to ensure data integrity, accessibility, and security.

Cloud computing is one of the technologies that have revolutionized database management systems. Cloud databases store data on remote servers, making it accessible from anywhere with an internet connection. This technology reduces the cost of managing on-premise databases, enhances data availability, and allows for easy scaling of database resources. Artificial intelligence (AI) is another technology that is transforming databases. AI-powered database management systems use machine learning algorithms to automate various tasks, such as query optimization, data indexing, and data cleaning. These systems enable organizations to manage vast amounts of data quickly and accurately.

Blockchain is another technology that has emerged as a game-changer in database management systems. Blockchain databases use a distributed ledger technology that ensures data integrity, transparency, and security. Blockchain databases provide a tamper-proof, decentralized platform that can be used to store sensitive data, such as financial transactions, identity information, and medical records. Other technologies that are transforming databases include in-memory databases, graph databases, and column-oriented databases.

References:

1. Chaudhary, N., & Kaur, R. (2020). An Overview of Database Management Systems: A Technological Review. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(6S), 11-16.

2. Sathiya, S., & Bala, S. (2019). Cloud-Based Database Management System: A Review. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9), 1263-1269.

3. Thangavel, M., Ramasamy, C., & Dhanalakshmi, R. (2018). Big Data Analytics using Artificial Intelligence: A Review. International Journal of Engineering and Technology (IJET), 10(2), 140-144.

4. Li, X., Chen, G., & Li, H. (2018). Blockchain-Based Database Systems: A Survey. Journal of Computer Science and Technology, 33(3), 461-481.

5. Wang, M., & Sun, J. (2019). An Overview of Graph Databases. IEEE Access, 7, 18773-18783.