The post discusses the foundational principles of database design, emphasizing the importance of normalization. However, it also highlights the counterargument that strict normalization can lead to performance issues, especially in use cases like reporting. Different requirements within an application may necessitate varied schema and data storage strategies, leading to potential data duplication but allowing acceptable trade-offs for performance. The discussion encourages a nuanced approach to database design, advocating for flexibility and adaptability based on specific application needs.