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Data Integrity in DBMS - (BCA / B.Tech)

Data Integrity in DBMS:

Data Integrity refers to the accuracy, consistency, and reliability of data stored in a database. It ensures that data is whole, correct, and not corrupted or altered in an unauthorized way. DBMS enforces data integrity through various constraints.

Types of Data Integrity:

Domain Integrity: Ensures that all values in a column are from a specified domain (i.e., a set of valid values). It is enforced by data types, CHECK constraints, and NOT NULL constraints.
Entity Integrity: Ensures that every table has a primary key, and that the primary key value is unique and not null. This guarantees that every row can be uniquely identified.
Referential Integrity: Ensures that relationships between tables remain consistent. It prevents entries in a related table if there is no corresponding entry in the primary table. This is enforced by foreign keys.
User-Defined Integrity: Business rules that are specific to an organization's needs and are not covered by the other integrity types. These are often implemented through triggers and stored procedures.

Data Integrity in DBMS

Data Integrity in DBMS:

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