Introduction:
The physical aspects of data storage and the logical aspects of data representation are two distinct components within a computer system. While the physical aspects deal with the actual storage and retrieval of data, the logical aspects focus on how the data is organized and represented for effective processing.

Physical aspects of data storage:
The physical aspects of data storage primarily involve the hardware components and mechanisms used to store and retrieve data. This includes devices such as hard disk drives (HDDs), solid-state drives (SSDs), magnetic tapes, and optical discs. These devices use physical properties like magnetism or laser light to store and read data.

Logical aspects of data representation:
The logical aspects of data representation, on the other hand, focus on how the data is organized, structured, and represented within the computer system. This includes the use of data structures, schemas, relationships, and constraints to ensure efficient storage, retrieval, and manipulation of data.

Differences between physical and logical aspects:
1. Schema: The schema is a logical aspect that defines the structure and organization of the data. It describes the tables, columns, and relationships between them in a database. The physical aspect, however, deals with how this schema is implemented and stored in the underlying storage devices.

2. Data: Data is the actual information that is stored and processed within the computer system. While the physical aspect involves the storage of data as binary bits on physical storage devices, the logical aspect focuses on how this data is structured and represented using different data types, formats, and encoding schemes.

3. Relationships: Relationships between different data entities are established to represent associations and dependencies. The logical aspect defines these relationships using techniques such as primary keys, foreign keys, and entity-relationship diagrams. The physical aspect, on the other hand, ensures that these relationships are maintained and enforced during storage and retrieval operations.

4. Constraints: Constraints are rules or conditions that are applied to the data to ensure its integrity and consistency. The logical aspect defines constraints such as unique constraints, referential integrity constraints, and data validation rules. The physical aspect ensures that these constraints are enforced and maintained at the storage level.

Conclusion:
In summary, the physical aspects of data storage deal with the hardware and mechanisms used to store and retrieve data, while the logical aspects focus on how the data is organized and represented within the computer system. The separation between these two aspects is essential for efficient data management, as it allows for flexibility and scalability in storing and processing data.