Mis345 Database Lab 6 Online Transform The ERD Into Rela
Mis345 Databaselab 6 Onlinetransform The Erd Below Into Relational T
Mis345 Databaselab 6 Onlinetransform The Erd Below Into Relational T
MIS345 Database Lab 6 (online) Transform the ERD below into relational tables and use the MS access as well. When you use the MS Access, please make sure that you apply all the integrity constraints points. Please fill at least 5 rows in each table.
Paper For Above instruction
Introduction
The process of transforming an Entity-Relationship Diagram (ERD) into relational tables is a fundamental step in database design, ensuring that the conceptual model is effectively implemented in a relational database management system such as MS Access. This conversion process involves identifying entities, relationships, and constraints, then translating them into tables, columns, primary keys, foreign keys, and integrity constraints. The two scenarios presented — a university system and a dental clinic — serve as practical examples of how to handle complex relationships, cardinalities, and constraints in real-world data modeling.
Transforming a university ERD
The first ERD describes a university system comprising multiple facilities, schools, programs, courses, lecturers, and students. The core challenge lies in accurately representing the many-to-many relationships, such as lecturers teaching multiple courses, students enrolling in various courses, and courses being offered by many lecturers. Additionally, the model incorporates hierarchical structures (facilities contain schools, which offer programs containing courses), as well as cardinality constraints (a student belongs to one program, but a program has many students).
To convert this ERD into relational tables, each entity becomes a table, with primary keys assigned. Many-to-many relationships, such as lecturers and courses, require the creation of junction tables to capture the associations effectively. Referential integrity constraints ensure that relationships are maintained correctly, preventing orphaned records or inconsistent data. For example, the Lecturer-Course relationship requires a junction table with foreign keys referencing both the Lecturer and Course tables.
Transforming the dental clinic ERD
The second scenario involves a dental clinic with multiple dentists, appointments, patients, nurses, and rooms. The model captures one-to-many relationships like dentists to appointments and patients to appointments, as well as many-to-many relationships such as nurses assisting multiple dentists and dentists using many rooms. These relationships are likewise represented with foreign keys and junction tables where appropriate.
For example, the Nurse-Dentist relationship, being many-to-many, is modeled with an assistance table linking nurses and dentists, including session details if necessary. Rooms being used by many dentists can be handled either through a junction table or by including room identifiers directly in the dentist or appointment tables, depending on the detail level required.
Implementation in MS Access
Using MS Access, the relational tables are created according to the design, with primary keys enforced for entity tables. Foreign keys are defined in child tables to maintain referential integrity, with cascade update and delete options configured as needed. Constraints such as not null, unique, and check constraints (if supported) are applied to ensure data validity. Sample data, at least five rows per table, are entered to facilitate testing and demonstration of the relational model's effectiveness.
Conclusion
Transforming ERDs into relational tables requires a clear understanding of entities, relationships, and constraints. By carefully designing tables, setting primary and foreign keys, and applying integrity constraints in MS Access, a robust and consistent database schema can be developed. The examples of the university and dental clinic models demonstrate how to handle various relationship types, ensuring accurate data representation and integrity in the relational database.
References
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Date, C. J. (2012). An Introduction to Database Systems (8th ed.). Pearson.
Silberschatz, A., Korth, H. F., & Sudarshan, S. (2010). Database System Concepts (6th ed.). McGraw-Hill.
Coronel, C., & Morris, S. (2015). Database Systems: Design, Implementation, & Management (11th ed.). Cengage Learning.