The statement is false because in a relational database, an attribute in a row (also known as a record or tuple) can only have one value according to the rules of normalization. This concept is known as atomicity, which is part of the first normal form (1NF) in database normalization rules.

Normalization is a process in relational database design that helps to eliminate data redundancy and improve data integrity. The first normal form (1NF) requires that the values in each column of a table are atomic, meaning they are indivisible. Therefore, an attribute in a row cannot have more than one value.

For example, if we have a table 'Students' with the columns 'StudentID', 'Name', and 'Courses', each student can only have one ID and one name in each row. If a student is taking multiple courses, we cannot store all the courses in the 'Courses' column of a single row. Instead, we would need to create separate rows for each course the student is taking, or create a separate table to handle the many-to-many relationship between students and courses.

So, the statement "In a row of a relational table, an attribute can have more than one value" is false in the context of a normalized relational database.

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The statement is false because in a relational database, an attribute in a row (also known as a record or tuple) can only have one value according to the rules of normalization. This concept is known as atomicity, which is part of the first normal form (1NF) in database normalization rules.

Normalization is a process in relational database design that helps to eliminate data redundancy and improve data integrity. The first normal form (1NF) requires that the values in each column of a table are atomic, meaning they are indivisible. Therefore, an attribute in a row cannot have more than one value.

For example, if we have a table 'Students' with the columns 'StudentID', 'Name', and 'Courses', each student can only have one ID and one name in each row. If a student is taking multiple courses, we cannot store all the courses in the 'Courses' column of a single row. Instead, we would need to create separate rows for each course the student is taking, or create a separate table to handle the many-to-many relationship between students and courses.

So, the statement "In a row of a relational table, an attribute can have more than one value" is false in the context of a normalized relational database.

Knowee AI · Accepted Answer

The statement is false because in a relational database, an attribute in a row (also known as a record or tuple) can only have one value according to the rules of normalization. This concept is known as atomicity, which is part of the first normal form (1NF) in database normalization rules.

Normalization is a process in relational database design that helps to eliminate data redundancy and improve data integrity. The first normal form (1NF) requires that the values in each column of a table are atomic, meaning they are indivisible. Therefore, an attribute in a row cannot have more than one value.

For example, if we have a table 'Students' with the columns 'StudentID', 'Name', and 'Courses', each student can only have one ID and one name in each row. If a student is taking multiple courses, we cannot store all the courses in the 'Courses' column of a single row. Instead, we would need to create separate rows for each course the student is taking, or create a separate table to handle the many-to-many relationship between students and courses.

So, the statement "In a row of a relational table, an attribute can have more than one value" is false in the context of a normalized relational database.

In a row of relational table an attribute can have more than one value. How is this statement false

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