Distributed Data Processing & Disaster Recovery Methods
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Distributed Data Processing Concepts
Centralizing Data in Distributed Systems
How Data is Centralized in DDP
The data is stored centrally but updated or processed at the local (remote) site. Data is retrieved from the centralized data store, processed locally, and then sent back to the centralized data store.
Centralizing Standards in DDP Environments
Importance of Centralized Standards
The relatively poor control environment imposed by the Distributed Data Processing (DDP) model can be improved by establishing some central guidance. The corporate group can contribute to this goal by establishing and distributing appropriate standards for systems development, programming, and documentation to user areas.