Near-time processing refers to the ability to handle and analyze data with minimal latency, typically allowing for insights and actions to be taken within seconds to minutes after data generation. This approach is particularly useful in scenarios where timely decision-making is critical, such as in financial transactions, real-time monitoring, and online customer interactions. Unlike real-time processing, which aims for immediate results, near-time processing balances speed and computational efficiency, enabling organizations to respond quickly without the need for instantaneous processing.
computes
It's Batch Processing,Realtime Processing,On line Processing and Distributed Processing.
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.
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
Parallel processing
A transaction processing system is a system that divides work into individual transactions. Types of processing include batch processing, time sharing, real time processing, and transaction processing.
disadvantages of transaction processing system
what is serial processing
Business data processing and Scientific data processing.
What are the two areas of data processing?
Yes it is called processing
The example of electronic data processing is the use of the computer in processing data.