Data Processing V/s Data Managemnet System

Although data processing and data management system both refer to function that take raw data and transform it into usable information. The usage of the terms is very different. Data processing is the term generally used to describe what was done by large mainframe computers from the late 1940’s until the early 1980’s large volume of raw transaction data fed into program that update a master file, with fixed-format report written to paper.

The term of Data Management System refers to an expansion of this theory, where the raw data, previously copied manually from  paper to punched card and latter into data entry terminals, is now fed the system from a diversity of resources, including ATMs, EFT and direct customer entry through the internet. The concept of master file has been mainly relocated via database management systems and static reporting  replaced or improved by Ad-Hoc reporting and express inquiry, including downloading of data by customers. The ubiquity of the internet and the personal computer have been the driving force in the transformation of Data Processing to the more global concept of Data management Systems.

Introduction of Database Managemnt System

A database management system is a collection of interrelated data and set of programs to acc those data. This is a collection of related data with an implicit meaning and hence is database. The collection of data usually referred to as the database contains information relevant to a project. The primary goal of a DBMS is to give a way to store and retrieve database information that is both convenient and efficient. By data we mean known facts that can be recorded and that have unspoken denotation. For example, consider the names telephone number, and addresses of the people you know. You have recorded this data in an indexed address book, or you can store it on a diskette using a personal computer and software such as DBAMS IV or V, MSA Access or Excel.

Database systems are designed to manage large bodies of information. This data involves both significant structures for storage of information and given that mechanisms for exploitation of information. In addition the database systems must ensure the safety of the stored information, even though system crashes or attempts at unofficial access. If data are to be shared numerous users, the system must avoid possible inconsistent result.