Introduction to Distributed Data Processing (DDP) # Movement and structure of data around organisations # Range of data processing approaches Classified according to degree of 'Centralisation' Currently, most businesses employ hybrid approaches Client/Server architectures Distributed Data Processing(DDP) # Computers are dispersed throughout organisation # Allows greater flexibility in structure # More redundancy # More autonomy Benefits of DDP # Responsiveness # Availability # Organisational Patterns # Resource Sharing # Incremental Growth # Increased User Involvement & Control # End-user Productivity # Distance & location independence # Privacy and security # Vendor independence Drawbacks of DDP # Difficulties in failure diagnosis # More components and dependence on communication means more points of failure # Incompatibility of components # Incompatibility of data # More complex management & control # Difficulty controlling information resources # Suboptimal procurement # Duplication of effort