A true DBMS offers several advantages over file processing.
The principal advantages of a DBMS are the followings:
• Flexibility: Because programs and data are independent, programs do not have to be modified when types of unrelated data are added to or deleted from the database, or when physical storage changes.
• Fast response to information requests: Because data are integrated into a single database, complex requests can be handled much more rapidly then if the data were located in separate, non-integrated files. In many businesses, faster response means better customer service.
• Multiple access: Database software allows data to be accessed in a variety of ways (such as through various key fields) and often, by using several programming languages (both 3GL and nonprocedural 4GL programs).
• Lower user training costs: Users often find it easier to learn such systems and training costs may be reduced. Also, the total time taken to process requests may be shorter, which would increase user productivity.
• Less storage: Theoretically, all occurrences of data items need be stored only once, thereby eliminating the storage of redundant data. System developers and database designers often use data normalization to minimize data redundancy.
The principal advantages of a DBMS are the followings:
• Flexibility: Because programs and data are independent, programs do not have to be modified when types of unrelated data are added to or deleted from the database, or when physical storage changes.
• Fast response to information requests: Because data are integrated into a single database, complex requests can be handled much more rapidly then if the data were located in separate, non-integrated files. In many businesses, faster response means better customer service.
• Multiple access: Database software allows data to be accessed in a variety of ways (such as through various key fields) and often, by using several programming languages (both 3GL and nonprocedural 4GL programs).
• Lower user training costs: Users often find it easier to learn such systems and training costs may be reduced. Also, the total time taken to process requests may be shorter, which would increase user productivity.
• Less storage: Theoretically, all occurrences of data items need be stored only once, thereby eliminating the storage of redundant data. System developers and database designers often use data normalization to minimize data redundancy.
