The three types of data processing are batch processing, real-time processing, and interactive processing. Batch processing involves processing large amounts of data at once, often done in batches or groups. Real-time processing involves immediate processing of data as it is received. Interactive processing allows users to interact with the system and process data in real-time, providing immediate feedback.
interactive processing works by turning off and turning of your compiret
1)online processing 2)real-time processing 3)distributed processing 4)time-sharing 5)batch processing 6)multiprocessing 7)multitasking 8)interactive procrssing
William D. Young has written: 'Verifying the interactive convergence clock synchronization algorithm using the Boyer-Moore theorem prover' -- subject(s): Distributed processing, Electronic data processing, Real-time data processing
Performance of tasks that involves continual exchange of information between the processes is known as interactive processing.
Interactive processing is the simplest way to work on a system. The user logs in, runs commands and logs off when they are finished.
Data Design Interactive was created in 1983.
Interactive Data Corporation's population is 2,400.
Interactive Data Corporation was created in 1968.
Real time processingIn a real time processing, there is a continual input, process and output of data. Data has to be processed in a small stipulated time period (real time), otherwise it will create problems for the system. For example: assembly line robots and radar system.batch processingIn a batch processing group of transactions collected over a period of time is collected, entered, processed and then the batch results are produced. Batch processing requires separate programs for input, process and output. It is an efficient way of processing high volume of data. For example: Payroll system, Examination system and billing system.
Batch processing involves collecting data over a period of time and processing it all at once, usually in a structured and systematic way. It is typically used for processing large volumes of data efficiently, with minimal user interaction or real-time requirements. Batch processing can be scheduled to run at specific times, making it useful for tasks like payroll processing, report generation, and data analysis.
Business data processing and Scientific data processing.