Discuss about the Database Proprietary Extensions for Evaluation System.
Proprietary extensions in SQL are being used by developers and organizations to provide additional functionalities that cannot be achieved with standardized SQL functions. These functionalities range from business logics to database security (Arunkumar et al 2018, p. 23). As organizations makes use of proprietary extensions in the development of the databases, it is important to evaluate both advantages and disadvantages. Its advantages are; it helps both developers and database users to achieve complex tasks more easily. The need for proprietary extension is mainly driven by organizational requirements. Upon analysis of specific requirements, database developers evaluates their ability to implement given requirements with normal SQL. In cases where standardized SQL cannot be used to achieve organizational business logics or security parameters, proprietary SQL extensions are adopted (Nemetz, Schmitt & Freiling 2018, p. 126). Similarly, it is much possible to take advantages of vendor specific features when using proprietary SQL extensions. Every extension has its own features that are unique depending on its developer which makes it suitable for specific functionality. It is through these extension vendor specifics that drive database developers to implement or impend them in order to meet organizational specifications.
Despite advantages, there are some disadvantages that organizations and database developers can face from using SQL extensions. First, when using other extensions apart from standardized SQL, it is not possible to migrate any existing database to a different database engine (Kondylakis et al 2018, p. 363). Data migration is a normal procedure undertaken by organizations with aim of meeting daily operational need or when moving from one database platform to the other. When SQL extensions are used, there are high possibilities that during data migration, organization would face many challenges such as compatibility issues. Additionally, since SQL extensions have unique features, it is very difficult to find SQL developers and Database administrators who can work with variety of extensions.
In regard to Database management system (DBMS) development, use of SQL extensions should not be implemented with approval from a customer. For DBAs and developers it is a good idea because it is only meant to enhance database functionality as well as optimize query processing (Liu et al 2018, p. 746). SQL is quite different from other programming languages such as java and python. Both java and python are used in creating application interfaces (front end) that communicate with DBMS. I really acknowledge SQL as a database development engine that can communicate to other frond end development languages with just few configurations. It is very easy and simple to learn with basic knowledge on its syntax. Finally, it is a useful development engine considering its wide application of use in embedded and web applications.
Arunkumar, A., Goutham, G., Narayan, L.V., Vasanthakumar, S. and Bhanumathi, M., 2018. Performance Evaluation System by Scientific Workflow in Cloud. Journal of Computer Based Parallel Programming, 3(1).pp. 15-56.
Kondylakis, H., Koumakis, L., Tsiknakis, M. and Marias, K., 2018. Implementing a data management infrastructure for big healthcare data. In Biomedical & Health Informatics (BHI), 2018 IEEE EMBS International Conference on (pp. 361-364). IEEE.
Liu, Z.H., Czarlinska, A., McMahon, D.J. and Makur, A., Oracle International Corp, 2018. Leveraging sql with user defined aggregation to efficiently merge inverted indexes stored as tables. U.S. Patent Application 15/281,746.
Nemetz, S., Schmitt, S. and Freiling, F., 2018. A standardized corpus for SQLite database forensics. Digital Investigation, 24, pp.S121-S130.