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Converting an ERD to a relational schema involves identifying entities, attributes, relationships, and constraints, and then mapping them to tables, columns, rows, and keys.
The first step in converting an ERD (Entity-Relationship Diagram) to a relational schema is identifying the entities. Entities are the main objects or concepts represented in the database. In a relational schema, each entity becomes a table. For example, in a university database, the entities might be 'Student', 'Course', and 'Lecturer'. Each of these would become a separate table in the relational schema.
Next, identify the attributes of each entity. Attributes are the properties or characteristics of an entity. In a relational schema, attributes become columns in the table corresponding to their entity. For instance, the 'Student' entity might have attributes like 'Name', 'Student ID', and 'Course Enrolled'. These would become columns in the 'Student' table.
The third step is identifying the relationships between entities. Relationships describe how entities interact with each other. In a relational schema, relationships are represented by foreign keys. A foreign key is a column or set of columns in one table that is used to link to a row of another table. For example, if a 'Student' is enrolled in a 'Course', the 'Course' table might have a 'Student ID' column as a foreign key, linking it to the 'Student' table.
Finally, identify any constraints on the entities, attributes, or relationships. Constraints are rules or restrictions that must be followed by the data in the database. In a relational schema, constraints can be represented in various ways, such as by making a column 'NOT NULL' (meaning it must always have a value), or by setting a 'UNIQUE' constraint (meaning all values in the column must be different).
In summary, converting an ERD to a relational schema involves a process of mapping: entities become tables, attributes become columns, relationships become foreign keys, and constraints are represented as rules on the tables, columns, and keys. This process requires a clear understanding of the data and its interrelationships, as represented in the ERD.
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