If Your Boss Asked You To Create A Database That Integrated ✓ Solved

If Your Boss Asked You To Create A Database That Integrated Logical De

If your boss asked you to create a database that integrated logical design best practices, what are the three most important features you would integrate in your end solution? Remember to not only just state them, but explain why and show examples. Don't repeat the same examples of others. That constitutes cheating. Instructions This is a required assignment, worth 15 points.

The assignment must be submitted by the due date. Late assignments are not allowed. You are required to submit a minimum of two postings. Points will be deducted for not fulfilling this minimum requirement. Apply and use the basic citation styles of APA is required.

Points are deducted per the rubric for this behavior. Do not claim credit for the words, ideas, and concepts of others. Use in-text citation and list the reference of your supporting source following APA's style and formatting. Points are deducted per the rubric for this behavior. Do not copy and paste information or concepts from the Internet and claim that is your work. It will be considered Plagiarism and you will receive zero for your work. A second offense results in a zero for the course. A third is termination from the university.

Sample Paper For Above instruction

Introduction

Designing a database that adheres to logical design best practices is crucial for ensuring data accuracy, efficiency, and scalability. Logical database design focuses on structuring data logically without considering physical storage details. In this paper, I will discuss three essential features to integrate into a database that exemplify best practices in logical design, supported by specific examples and explanations.

Feature 1: Normalization to Reduce Data Redundancy

Normalization is a process aimed at organizing data within a database to reduce redundancy and dependency. By applying normalization rules, such as converting tables to achieve at least the Third Normal Form (3NF), data anomalies and inconsistencies are minimized. For instance, in a retail database, instead of duplicating customer addresses in every order record, normalization would separate customer information into a dedicated 'Customers' table, linked to the 'Orders' table via a foreign key. This ensures updates to customer addresses only need to be made in one place, reducing errors and maintaining data integrity (Elmasri & Navathe, 2015).

Feature 2: Establishing Clear Relationships with Referential Integrity

Establishing clear relationships between tables is vital for maintaining data consistency. This is achieved through primary and foreign keys and enforcing referential integrity constraints. For example, in an employee-management database, linking 'Employees' and 'Departments' tables via a foreign key ensures that every employee is associated with a valid department. Referential integrity prevents orphan records or invalid references, which is essential for reliable data retrieval and updates (Coronel & Morris, 2015).

Feature 3: Implementing Data Validation and Constraints

Incorporating data validation rules and constraints directly into the logical design ensures only valid data is entered into the system. For example, applying a 'NOT NULL' constraint on the 'Email' field in a user registration database guarantees that every user profile has an email address. Check constraints can enforce specific formats, such as requiring phone numbers to follow a certain pattern. These validation features help maintain data quality and prevent errors early in the data entry process (Silberschatz, Korth, & Sudarshan, 2019).

Conclusion

Incorporating normalization, referential integrity, and data validation are three fundamental features that ensure a robust and logically sound database design. These features work together to maintain data accuracy, reduce redundancy, and enforce data consistency, ultimately leading to a reliable and scalable database system. By adhering to these best practices, database designers can facilitate efficient data management and support organizational decision-making processes.

References

• Coronel, C., & Morris, S. (2015). Database Systems: Design, Implementation, & Management. Cengage Learning.
• Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems. Pearson.
• Silberschatz, A., Korth, H. F., & Sudarshan, S. (2019). Database System Concepts. McGraw-Hill Education.