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Methods of Data Processing

Data processing refers to the organization of information into new and constructive structures. It is the new term for "paperwork," and entails the assembling and dispensing of data and records to complete a certain outcome.

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    1. Significance

      • Data processing is important in business and scientific operations. Business data is processed repeatedly, and usually needs large volumes of output. Scientific data requires numerous computations, and usually needs fast-generating outputs.

      Batch Processing

      • This is a method where the information to be organized is sorted into groups to allow for efficient and sequential processing.

      Online Processing

      • This is a method that utilizes Internet connections and equipment directly attached to a computer. It is used mainly for information recording and research.

      Real-Time Processing

      • This technique has the ability to respond almost immediately to various signals in order to acquire and process information.

      Distributed Processing

      • This method is commonly utilized by remote workstations connected to one big central workstation or server. ATMs are good examples of this data processing method.

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