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Distributed data processing is a computer-networking method in which multiple computers across different locations share computer-processing capability. This is in contrast to a single, centralized server managing and providing processing capability to all connected systems.

Computers that comprise the distributed data-processing network are located at different locations but interconnected by means of wireless or satellite links. The following are the some advantages of distributed data processing;-

1. The failure of the central computer does not affect the operations of the other terminals (reliability).

2. processing load is shared equally hence no time wastage (improved performance and reduced time wasting).

3. Relatively cheap -Distributed data processing considerably lowers the cost of data sharing and networking across an organization by comprising several minicomputers that cost significantly less than mainframe machines.

4. The system is flexible in sharing of processing activities also in terms of increasing or decreasing processing power. For example, adding more nodes or computers to the network increases processing power and overall system capability, while reducing computers from the network decreases processing power.

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