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Normalization of Database Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anomalies. It
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Data redundancy refers to the unnecessary duplication of data within a database or data storage system, which can lead to inefficiencies and increased storage costs.
Organizations and businesses that manage significant amounts of data and need to ensure efficient storage and data integrity are typically required to address data redundancy.
To address data redundancy, organizations should analyze their data storage practices, identify duplicate data entries, and restructure their databases to eliminate unnecessary duplicates.
The purpose of addressing data redundancy is to enhance data integrity, optimize storage usage, and improve the overall efficiency of data retrieval and management processes.
Information that must be reported includes the extent of data duplication, measures taken to resolve redundancy issues, and any changes made to data management practices.
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