Final answer:
The incorrect statement regarding normalization is that it results in larger tables; instead, it creates multiple smaller, non-redundant tables connected by relationships. The primary key's uniqueness ensures atomicity, and normalization aims to eliminate data redundancy.
Step-by-step explanation:
The statement that is NOT true regarding normalization is "When you normalize a database, you will have larger tables, each representing a different thing." The goal of normalization is to break down a database into smaller, more manageable tables without redundant data. Each smaller table represents a specific entity and its related data. Consequently, normalization can reduce the size of tables by removing duplicate data and organizing it into separate tables connected by relationships.
If you know the primary key of an entity in a normalized database, it is true that each of the attributes will have just one value, ensuring data integrity and consistency. This adheres to the concept of atomicity in normalization.
Normalization indeed ensures there will be no redundant data in the tables, as it seeks to eliminate duplication which in turn can minimize the potential for anomalies during data operations.
The process of normalization does involve minimizing duplicate data. This is to simplify the maintenance of the database and improve data integrity.