Concept

Description for a Total Stranger

Description for a Database Instructor

Description for a Technical Interviewer

Similarities and Differences across Audience Types

Normalization

Normalization is a process of organizing data in a database to eliminate redundancy and improve data integrity. It involves breaking down a table into smaller tables.

Normalization is a technique used in database design to prevent data duplication and update anomalies. It follows a set of rules to structure data efficiently.

Normalization is a database design technique that helps in organizing data by reducing redundancy, dependency, and inconsistency.

All audience types should understand the basic concept of eliminating redundancy and improving data integrity.

Determinants

Determinants are attributes that uniquely identify a record in a database table.

In database design, a determinant is an attribute or a set of attributes that determines the values of other attributes in a table.

In a database table, a determinant refers to the attribute$($s$)$ that uniquely identify a record or control the values of other attributes.

All audience types need to understand the concept of determinants as a way to uniquely identify records in a table.

Unique Identifiers

Unique identifiers are attributes or combinations of attributes that uniquely identify a record in a database table.

Unique identifiers, also known as primary keys, are attributes or a combination of attributes that uniquely identify a record in a database table.

Unique identifiers are attributes or a combination of attributes that ensure the uniqueness of records in a database table.

All audience types should grasp the idea that unique identifiers help in uniquely identifying records in a table.

Cardinality

Cardinality represents the number of related records between two tables in a database relationship.

Cardinality describes the number of instances in an entity relationship. It indicates the relationship between records in two tables.

Cardinality refers to the relationship between tables in a database and describes the number of entities involved.

Understanding cardinality is crucial for all audience types as it helps in defining relationships between tables.

Entity Relationship Diagrams

Entity Relationship Diagrams $($ERDs$)$ illustrate the relationships and structure of data in a database.

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