In the emerging economy there is a new infrastructure, based on the internet, that is causing us to scrutinies most of our assumptions about the business. As a skin of networks - growing in ubiquity, robustness, bandwidth, and function - covers the skin of the planet, new models of how wealth is created are emerging.

Thursday, October 14, 2021

Data management system

The term 'DATA' can be defined as the value of an attribute of an entity. An entity in general, may be an object, idea, event, condition or situation. A set of attributes describes an entity. Information in a form which can be processed by a raw computer is called data. Data are raw material of information.

Any collection of related data items of entities having the same attributes may be referred to as a 'DATABASE'.

Data management includes all aspects of data planning, handling, analysis, documentation and storage, and takes place during all stages of a study. The objective is to create a reliable data base containing high quality data.

Such systems are commonly digital, but the term equally applies to paper-based systems where the term records management is commonly used.

The basic goals of data management systems are storing, delivering and describing data. The Data Management System is a distributed system featuring data access and delivery. It is based on the pattern of autonomic agents using the accessible network infrastructure for mutual communication.

Data management systems typically store huge quantities of data representing the historical records of an organization. These databases grow by accretion. It is important that the old data and applications continue to work as new data and applications are added. The systems are in constant change.
Data management system

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