Distributed Data Processing (DDP)
It is a configuration in which many geographically dispensed or
distributed independent computers are connected by means of computer
networks. In this type of configuration Programs, data and other
resources are shared among several users who are geographically far away
from one another. This provides the facility of better resource use to
the end users.
This approach is different from centralized system because computers are installed at different locations and each of them performs independent data processing. Each computer in DDS is designed for a specific task.
Advantages of Distributed Data Processing
1) In Distributed data processing resources can be used in centralized or non centralized manner.
2) Smaller or complex jobs can be easily handled. Small jobs are done with the help of Personal Computers whereas complex jobs are performed by complex systems.
This approach is different from centralized system because computers are installed at different locations and each of them performs independent data processing. Each computer in DDS is designed for a specific task.
Advantages of Distributed Data Processing
1) In Distributed data processing resources can be used in centralized or non centralized manner.
2) Smaller or complex jobs can be easily handled. Small jobs are done with the help of Personal Computers whereas complex jobs are performed by complex systems.
