ITSW 1407 - Introduction to Database
Content:    Data Modeling
.  Overview
.  E-R Model
.  Database Design
.  Data Objects
.  Basic Schema
.  Refining the E-R
.  Primary Keys
.  Attributes
.  Hierarchies
.  Integrity Rules
.  Bibliography
   Relational Model
.  Overview
.  Data Structure
.  Notation
.  Relational Table
.  Relationships
.  Data Integrity
.  Relational Data
.  Normalization
.  Advanced


.  Data Integrity

CSIT Dept.,  Del Mar College

Data Integrity

Data integrity means, in part, that you can correctly and consistently navigate and manipulate the tables in the database. There are two basic rules to ensure data integrity; entity integrity and referential integrity.

The entity integrity rule states that the value of the primary key can never be a null value (a null value is one that has no value and is not the same as a blank). Because a primary key is used to identify a unique row in a relational table, its value must always be specified and should never be unknown. The integrity rule requires that insert, update, and delete operations maintain the uniqueness and existence of all primary keys.

The referential integrity rule states that if a relational table has a foreign key, then every value of the foreign key must either be null or match the values in the relational table in which that foreign key is a primary key.

Next... Relational Data manipulation