Hi,
Data redundancy
Data Inconsistancy
Difficulty in accessing data
Data Isolation
Integrity problem
Atomicity problem
security problem
Some limitation of file processing include:1. Data redundancy and inconsistency2. Difficulty in accessing data3. challenges with data security4. Often, time consuming and tedious
Computer data processing is any computering process that converts datas into information or knowledge. The processing is usually assumed to be automated and running on a computer. Because datas are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems to emphasize their practicality. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise information systems typically take raw data as input to produce information as output.Data can be seen as a raw material, which be later coverted to information. i.e For a company that wants to produce bornvita, such company will need to make use of cocoa,which means that cocoa is the raw material for the production of borntiva, likewise data is the raw material for information. Data has to pass through a specific process before it could be changed to information, and it is called a process.Data processing most often refers to computer processes that convert data into information or knowledge. Data processingmay also refer to: * Information processing; the change (processing) of information in any manner detectable by an observer. * Data analysis; processing data with the goal of highlighting, drawing conclusions, and supporting decision making. * Data entry done by a data entry clerk.
transactional processing system
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.
According to Intel: Input, Output, Processing and Storage. Input devices send data and instructions to the central processing unit. Processing executes computer instructions. Memory holds data and programs temporarily. Output devices make processed data available to the user. Storage devices store data and programs permanently.
Some limitation of file processing include:1. Data redundancy and inconsistency2. Difficulty in accessing data3. challenges with data security4. Often, time consuming and tedious
In information processing,a Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
Data Processor or Data Processing Unit or Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
data processing system is the process of data that refers to information about what the problem.
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
Serial processing in operating system is one of the types of data processing in the computer. The data is read by the CPU, analyzed, processed and then executed in this system.
Output data is a signal or data sent from the information processing system to the outside world. The data can be sent to a human or another information processing system.
why would you recommend digital data processing system to any modern business
A system, including computer system and associated personnel, that performs input, processing storage, output and control functions to accomplish a sequence on data.
this aspect of system is relatively easy to change or stole the data or material at the time of entering data into system
The device used for calculating and processing data in a computer system is known as the Central Processing Unit, or CPU for short.
data redundancy and data isolation