The data subjects in question are concert venues, requiring proper normalization for efficient data management.
Data subjects in the context given are concert venues. Each venue has specific attributes such as number of seats, age, parking spaces, and location (inside or outside).
When normalizing the data, it's important to separate the attributes into different tables to avoid redundancy and maintain data integrity. Creating tables for venues, concerts, and performers can help establish clear relationships between the data entities.
By organizing the data into separate tables and establishing appropriate relationships, it ensures efficient data management and reduces data duplication, meeting the requirements of higher normalization forms.
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