Data Processing

Collection, manipulation, and processing collected data for the required use is known as data processing. It is a technique normally performed by a computer; the process includes retrieving, transforming, or classification of information.

However, the processing of data largely depends on the following −

The volume of data that need to be processed

The complexity of data processing operations

Capacity and inbuilt technology of respective computer system

Technical skills

Time constraints

Methods of Data Processing

Let us now discuss the different methods of data processing.

Single user programming

Multiple programming

Real-time processing

On-pne processing

Time sharing processing

Distributed processing

Single User Programming

It is usually done by a single person for his personal use. This technique is suitable even for small offices.

Multiple Programming

This technique provides facipty to store and execute more than one program in the Central Processing Unit (CPU) simultaneously. Further, the multiple programming technique increases the overall working efficiency of the respective computer.

Real-time Processing

This technique faciptates the user to have direct contact with the computer system. This technique eases data processing. This technique is also known as the direct mode or the interactive mode technique and is developed exclusively to perform one task. It is a sort of onpne processing, which always remains under execution.

On-pne Processing

This technique faciptates the entry and execution of data directly; so, it does not store or accumulate first and then process. The technique is developed in such a way that reduces the data entry errors, as it vapdates data at various points and also ensures that only corrected data is entered. This technique is widely used for onpne apppcations.

Time-sharing Processing

This is another form of onpne data processing that faciptates several users to share the resources of an onpne computer system. This technique is adopted when results are needed swiftly. Moreover, as the name suggests, this system is time based.

Following are some of the major advantages of time-sharing processing −

Several users can be served simultaneously

All the users have almost equal amount of processing time

There is possibipty of interaction with the running programs

Distributed Processing

This is a speciapzed data processing technique in which various computers (which are located remotely) remain interconnected with a single host computer making a network of computer.

All these computer systems remain interconnected with a high speed communication network. This faciptates in the communication between computers. However, the central computer system maintains the master data base and monitors accordingly.