Redundant Data Elimination

Redundant Data Elimination is a process used in data management to identify and remove duplicate or unnecessary information within a database or dataset. Its goal is to improve efficiency, save storage space, and ensure data accuracy by keeping only the most relevant and unique data entries. This process helps organizations avoid confusion caused by multiple copies of the same data, making data easier to maintain, retrieve, and analyze. Essentially, it streamlines data to ensure it remains clean, consistent, and efficient for decision-making and operations.