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There are a number of data processing techniques that can be used. The most common ones are batch processing, online processing, real-time processing and distributed processing.

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Batch processing technique is a type of computer data processing technique. Other types include; Real-time processing, time sharing processing etc

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13y ago
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Q: Data processing techniques
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What is offline processing techniques?

Offline processing techniques is an on-board data analysis software package. The techniques included are file selection, desktop management, and filter windows.


Data processing concepts and techniques?

The process of collecting, storing, and recovering some information to produce a set of outputs is called Data processing. Data processing software incorporates data management, different methods of data processing software package, writing process for several programming languages, and file and database systems.


How can data hazards in a pipeline be mitigated to ensure efficient processing of data?

Data hazards in a pipeline can be mitigated by using techniques such as forwarding, stalling, and reordering instructions. Forwarding allows data to be passed directly from one stage of the pipeline to another, reducing the need to wait for data to be written back to memory. Stalling involves temporarily stopping the pipeline to resolve hazards, while instruction reordering rearranges the order of instructions to avoid data dependencies. These techniques help ensure efficient processing of data in a pipeline.


What are the stages of electronic data processing?

the electronic data processing consists of three stages which are the INPUT, the PROCESSING and the OUTPUT stages.


What is the purpose and functionality of a 2nd chance algorithm in the context of data processing and error handling?

A 2nd chance algorithm is used in data processing to handle errors by giving a second opportunity for processing data that may have caused an error initially. This algorithm helps improve the efficiency and accuracy of data processing by allowing for a retry of the processing step that encountered an error, reducing the likelihood of data loss or corruption.