In recent days, most of the organization's projects were facing the system failure due to the improper structure of the database design. As a software developer, I have faced the production issues of a system performance due to the bad design in the backend.
As a part of team member we try to make the best design patterns in all aspects of the development but due to the changes in business requirements it always hard to modify the database structure. In order to avoid the problems in development decisions, we have to avoid Bad Data Schema designs that avoid the performance problems (Carol, Donald, Sheri, &, Lei, 2009).
The common system errors are due to the using invalid names in writing a stored procedure tends you to catch the exception where the name not only stores into tables but also the indexes and constraints should establish the proper naming convictions to get the best output.
The Insufficient column width and the non-indexing or not analyzing the volume of a data takes you to the performance issues and it is achieved by the proper design data model and implementing the right queries to the application on the database.
The aim of the design is to operate the system by the business people and the customers without having any difficulties and it can be done by improving the database performance by following the normalization rules.
Overall, Proper planning and maintain the standards such as normalization, naming convention fields, and the proper documentation plays a key role in ensuring all requirements which are being addressed in the most effective way (Meho, and Yang, 2007).