refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data is correct and valid, preventing any data anomalies or inconsistencies. To achieve data integrity, various s are enforced within a database system.
One aspect of data integrity is , which ensures that each record in a table is unique and has a primary key value. Entity integrity guarantees that no duplicate or null values exist in the primary key column, thereby maintaining the uniqueness and reliability of the data.
is another crucial aspect of data integrity, which enforces the consistency between related tables. It maintains the relationships between tables by applying constraints on foreign key values. With referential integrity, data remains synchronized and accurate, preventing s. An orphaned record occurs when a foreign key value references a non-existent primary key value.
is another essential element, ensuring that the data in a column satisfies all predefined rules and constraints. By defining valid data ranges, data types, and unique values, domain integrity enforces accurate and consistent data within each column of a table.
plays a significant role in maintaining integrity. It involves verifying and validating data to ensure that it adheres to predefined rules and constraints. The process includes checking for appropriate data types, ranges, and validating input against specific criteria. Data validation helps identify and prevent data anomalies or inconsistencies, thus contributing to overall data integrity.
In cases where data needs to be modified or deleted, is a useful feature that maintains referential integrity. Cascade delete automatically removes related records in other tables when a record in the parent table is deleted. By doing so, data dependencies are cleanly managed, preventing inconsistencies or orphaned records.
Keywords
domain integrity | entity integrity | data integrity | orphaned record | cascade delete | integrity constraint | referential integrity | data validation |
