Normalization is a crucial concept in database management systems aimed at reducing or eliminating redundancy in tables. It addresses two primary types of duplicacy: row-level duplicacy and column-level duplicacy. Row-level duplicacy occurs when multiple rows in a table are exactly the same, exemplified by a student table with duplicate entries. To combat this, a primary key is established, ensuring that each row is unique and not null. For instance, designating the student ID as the primary key prevents the same ID from appearing multiple times. On the other hand, column-level duplicacy refers to situations where different rows share the same values in certain columns. After eliminating row-level duplicacy with the use of primary keys, it is possible that several rows may contain identical values in certain columns such as course information or faculty details. This underscores the need for careful design in database structures to ensure that while row duplicacy is managed, potential column duplicacy may still exist and needs to be addressed through normalization techniques. This process enhances data integrity and efficiency in database management.