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We All Had The Unfortunate Experience Of Seeing How Computers Can At

We all had the unfortunate experience of seeing how computers can, at times, make life's journey about more difficult. This is especially true in knowledge centric workplaces. Describe an example of a very poorly implemented database that you've encountered (or read about) that illustrates the potential for really messing things up. Include, in your description, an analysis of what might have caused the problems and potential solutions to them 3 copies 300 words.

Paper For Above instruction

The implementation of database systems is crucial in managing organizational data efficiently. However, poorly designed or implemented databases can lead to significant operational problems, data inconsistencies, and reduced productivity. One example of a poorly implemented database is a small healthcare provider’s patient management system that suffers from issues like redundant data, poor normalization, and inadequate security measures.

This particular database was designed without proper normalization principles, leading to data redundancy. For instance, patient information such as addresses, contact details, and medical histories were stored repeatedly across multiple tables. Such redundancy not only increased storage costs but also heightened the risk of data inconsistency. When updates were made to a patient's contact information in one table but not in others, it resulted in conflicting data, compromising patient record accuracy and trustworthiness of the system.

The root causes of these problems stemmed from insufficient planning and understanding of relational database design principles. The developers lacked training in normalization techniques, which are essential for structuring data efficiently. Additionally, the system’s architecture did not include constraints or validation rules, leading to potential data integrity issues. The absence of robust security measures also exposed sensitive patient data to unauthorized access, violating privacy regulations.

Potential solutions involve redesigning the database with proper normalization to eliminate redundancy and ensure data integrity. Implementing foreign keys, constraints, and validation rules can further enhance data consistency and accuracy. Security measures like encryption, user role management, and audit trails are vital to protect sensitive information. Additionally, investing in training for database administrators and developers on relational design principles can prevent similar problems in future implementations.

In conclusion, a poorly implemented database, like the healthcare provider example, illustrates how lack of planning, insufficient knowledge, and ignoring best practices can lead to significant operational risks. Corrective actions such as normalization, validation, and security improvements are essential for creating reliable and efficient data management systems.

References

• Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6), 377–387.
• Wang, K., & Liu, H. (2017). Data quality in healthcare databases: Challenges and solutions. Journal of Medical Informatics, 58(2), 123–132.