What are the types of electronic data processing?

There are numerous ways to process electronic data. These methods depend on the data source and the actions the processing unit takes to produce an outcome in the appropriate format. In a nutshell, processing electronic large data cannot be done using a "one-size-fits-all" paradigm.

The main categories into which electronic data can be divided include the following:

Online processing: In this form, as soon as big data is made available to the system, it is immediately fed into the CPU. The best illustration of online data processing is barcode scanning.

Big data is gathered and processed in batches during this sort of data processing. The majority of systems that access a large amount of data, such payroll systems, etc., use this technique.

Real-time processing: This method is used for processing small amounts of data. With this approach, as soon as the input data is given, the result is generated instantly. The ideal example of real-time electronic data processing is cash withdrawal from an ATM.

Multiprocessing : Data is typically split into two frames and processed using two or more CPUs connected to a single PC in parallel, which is why this process type is also known as parallel processing. This type of electronic data processing is used in weather forecasting systems because it is necessary to process enormous amounts of data concurrently in order to deliver reliable, accurate results.

Time-sharing: Using this strategy, multiple people can access large amounts of data on numerous computer resources at the same time and during varied time intervals. This facilitates data processing!