Please provide a response.

 

To get started from my experience and knowledge from research, always remember that database normalization is a process that is used to organize data in a database by reducing redundancy and dependency, and improving data integrity. Normalization involves dividing a database into smaller tables and establishing relationships between them to ensure data is consistent and accurate. There are several levels of normalization, including first normal form (1NF), second normal form (2NF), and third normal form (3NF), among others. Each level builds on the previous one and aims to eliminate specific types of data redundancy and dependency.  According to Coronel et al. (2019), normalization ensures that data is stored efficiently, and it reduces the risk of errors and inconsistencies in the data.

Coronel, C., Morris, S., & Rob, P. (2019). Database Systems: Design, Implementation, and Management. Cengage Learning.

Various Supplemental Video Learning Resources (n.d.) Database normalization. YouTube. https://www.youtube.com/results?search_query=Database+NormalizationLinks to an external site.+

After watching some videos and or other sources of choice, consider this case and question:

Think about a professional work environment scenario, where normalization can be used to improve the efficiency of a company's database system by eliminating duplicate data and ensuring that each piece of data is stored in only one place. For example, a company that stores customer data in a database can use normalization to ensure that each customer's information is stored in only one table, with a unique identifier that can be used to link the data to other tables in the database.

How can normalization improve the accuracy and efficiency of data storage in a company's database system, and what are some potential challenges or drawbacks of normalization in this context?