Provide A Data Definition: Define Domains And Relations ✓ Solved

Provide A Data Definition Define Domains And Relationscreate Domai

The assignment involves defining data structures for a database system, specifically focusing on creating domains, relations, and analyzing normalization levels to optimize database design. The task begins with establishing data domains for various attributes such as project names, owner details, parts, suppliers, and pricing information. These domains will serve as data types for the respective attributes in the relations. Subsequently, relations representing entities like projects and suppliers are created, with primary keys and foreign keys specified to establish relationships among tables. The next step involves identifying functional dependencies within each relation, which delineates the relationships between different attributes. Using these dependencies, normalization processes are performed to achieve third normal form (3NF) or Boyce-Codd Normal Form (BCNF), eliminating redundancy and ensuring data integrity. The outcome of this process includes final entity definitions with sample data illustrating their structure and relationships. Overall, the project demonstrates the process of designing a normalized relational database schema starting from data domain definitions to achieving an efficient, well-structured database model.

Sample Paper For Above instruction

The design and structuring of a relational database necessitate a systematic approach starting from defining data domains to ensuring proper normalization forms. This process ensures data integrity, reduces redundancy, and optimizes query efficiency. The initial stage involves creating domains, which specify the data types and constraints for attributes across different relations. For example, domains such as PROJECTNAME, OWNER, and OWNERPHONE are established using CREATE DOMAIN statements, defining their data types like CHAR and NUMERIC and setting size constraints. These domains provide consistency and facilitate data validation across the database schema.

Once domains are established, relations (tables) are created using the CREATE BASE RELATION statement, associating each table with its respective domains. In this case, we consider relations such as PROJECTNAME, SUPPLIER, and a composite relation for project-supplier assignments. Each relation is defined with primary keys to uniquely identify records and foreign keys to establish relationships between tables. For instance, the PROJECTNAME relation uses PROJECTNAME as its primary key, while the SUPPLIER relation incorporates a primary key and references to other relations via foreign keys.

The next phase involves analyzing functional dependencies (FDs) within each relation. Functional dependency indicates a relationship where certain attributes determine other attributes. For example, {ProjectName} determines {Owner} and {OwnerPhone}, signifying that each project name uniquely determines its owner and contact number. Similarly, in the supplier relation, attributes like Part’s Name and Category depend on Supplier. Recognizing these dependencies is crucial for the normalization process, which aims to reduce redundancy and avoid insertion, update, and deletion anomalies.

Normalization advances through several stages, from first normal form (1NF) to third normal form (3NF) or Boyce-Codd normal form (BCNF). The initial 1NF ensures each relation contains only atomic values and a unique primary key. Moving to 2NF eliminates partial dependencies where non-key attributes depend on part of the primary key. In the given scenario, for example, identifying that Unit Price and Extend Price depend on Part’s Name and Supplier, which are part of a composite primary key, prompting the decomposition of relations to achieve 2NF.

Further normalization into 3NF or BCNF involves removing transitive dependencies, ensuring that non-key attributes are directly dependent only on the primary key. For instance, in the supplier relation, if Discount depends solely on Supplier, it indicates a transitive dependency that can be eliminated by decomposing into separate relations.

After normalization, the database design results in simplified, well-structured entities such as OWNER, PROJOWNER, and SUPPLIER tables, each with a clear primary key and relevant attributes. For example, the OWNER table includes OWNERID and OWNERNAME, while the PROJOWNER table links owners and projects by foreign keys. Final data exemplifies these entities, illustrating consistent and non-redundant data storage.

In conclusion, initiating data definition with appropriate domains, followed by structuring relations and analyzing dependencies, allows for the normalization of data to at least the third normal form. This systematic approach produces a more reliable, flexible, and scalable database structure. Achieving higher forms such as BCNF further enhances data integrity by removing any remaining anomalies, ensuring the database operates efficiently and accurately reflects business processes.

References

• Fundamentals of Database Systems (7th ed.). Pearson.
• An Introduction to Database Systems. Addison-Wesley.
• Database System Concepts (7th ed.). McGraw-Hill.
• Relational Database Design and Implementation. Morgan Kaufmann.
• Database Management Systems. McGraw-Hill.
• Database Concepts. Pearson.
• Database Systems: The Complete Book. Pearson.
• Database Design. McGraw-Hill.
• Principles of Database and Knowledge-Base Systems. Computer Science Press.