Refining - or processing.
Not in the strictest sense. It is an IO device and a converter. They often do have processors on them, and they are used for conversion, compression, and decompression.
"Data processing is simply the conversion of raw data into meaningful information through a process."& Data Processing Cycle is described by following imageImage source: jhigh.co.uk
By data conversion we mean the data is first processed. The data after processing is ready to store in database. And from the database we can retrieve it for our use.
Increased productivity and revenues, better decisions, higher precision, and reliability are all benefits of data processing. The amount of time spent and the complexity of the processing will be determined by the desired outcomes. Data processing allows for more storage space to be used for adding, maintaining, and altering data. Data processing is critical for businesses to develop better business strategies and gain a competitive advantage. The conversion of data into a usable and desired format is known as data processing.
Secondary occupations involve the conversion of raw materials into usable good, e.g. cotton textile which require processing of cotton.
chemical based industries is industries that use chemical to production of goods are called chemical based industries
Manipulation of data by a http://www.answers.com/topic/computer-1. It includes the conversion of raw data to machine-readable form, flow of data through the http://www.answers.com/topic/cpu and memory to output devices, and formatting or transformation of output. Any use of computers to perform defined operations on data can be included under data processing. In the commercial world, data processing refers to the processing of data required to run organizations and businesses.
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
computes
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
It's Batch Processing,Realtime Processing,On line Processing and Distributed Processing.