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A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information etc. depending on the interpreter's relation to the system. A term commonly used synonymously with data or storage (codes) processing system ...
A mechanical computer is a computer built from mechanical components such as levers and gears rather than electronic components. The most common examples are adding machines and mechanical counters, which use the turning of gears to increment output displays. More complex examples could carry out multiplication and division—Friden used a ...
The term unit record equipment also refers to peripheral equipment attached to computers that reads or writes unit records, e.g., card readers, card punches, printers, MICR readers. IBM was the largest supplier of unit record equipment and this article largely reflects IBM practice and terminology.
The tabulating machine was an electromechanical machine designed to assist in summarizing information stored on punched cards. Invented by Herman Hollerith, the machine was developed to help process data for the 1890 U.S. Census. Later models were widely used for business applications such as accounting and inventory control.
The computer operator normally works in a server room or a data center, but can also work remotely so that they can operate systems across multiple sites. Most of their duties are taught on the job, [citation needed] as their job description will vary according to the systems they help to manage.
Information systems technicians schedule information gathering for content in a multiple system environment. Information systems technicians are responsible for the operation, programming, and configuration of many pieces of electronics, hardware and software. ITs often are also tasked to investigate, troubleshoot, and resolve end-user problems.
Electronic data processing ( EDP) or business information processing can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information. For example: stock updates applied to an inventory, banking transactions applied to account and ...
Data engineering. Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science; which often involves machine learning. [ 1][ 2] Making the data usable usually involves substantial compute and storage, as well as data processing .