Explain the concept of vertical denormalization and its implications on database design.

Vertical denormalization involves splitting a table vertically to store different attributes in separate tables. This can improve query performance by reducing the number of columns in a table and allowing for more efficient data retrieval. However, it can also lead to increased complexity in database design and management, as it requires managing multiple tables and maintaining relationships between them. Additionally, vertical denormalization can result in increased storage requirements and potential data redundancy if not implemented carefully. Thus, while it can offer benefits in terms of query performance, it requires careful consideration and planning in database design.