<P> The physical structure of the data is referred to as "physical data description". Physical data independence deals with hiding the details of the storage structure from user applications . The application should not be involved with these issues since, conceptually, there is no difference in the operations carried out against the data . There are three types of data independence: </P> <Ol> <Li> Logical data independence: The ability to change the logical (conceptual) schema without changing the External schema (User View) is called logical data independence . For example, the addition or removal of new entities, attributes, or relationships to the conceptual schema sternal schemas or having to rewrite existing application programs . </Li> <Li> Physical data independence: The ability to change the physical schema without changing the logical schema is called physical data independence . For example, a change to the internal schema, such as using different file organization or storage structures, storage devices, or indexing strategy, should be possible without having to change the conceptual or external schemas . </Li> <Li> View level data independence: always independent no effect, because there doesn't exist any other level above view level . </Li> </Ol> <Li> Logical data independence: The ability to change the logical (conceptual) schema without changing the External schema (User View) is called logical data independence . For example, the addition or removal of new entities, attributes, or relationships to the conceptual schema sternal schemas or having to rewrite existing application programs . </Li> <Li> Physical data independence: The ability to change the physical schema without changing the logical schema is called physical data independence . For example, a change to the internal schema, such as using different file organization or storage structures, storage devices, or indexing strategy, should be possible without having to change the conceptual or external schemas . </Li>

Explain the concept of physical data independence and its importance in database management