Redundancy - Repetative storage of data leading to possible multiple versions and/or ill utilisation of data storage capacity.
Inconsistency - Failure to adhere to standardised storage of data; usage of varying formats, non-confirmation to standardised/defined methods to store similar/related data.
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Redundancy in a database occurs when the same piece of data is unnecessarily stored in multiple places, leading to inefficiency and potential data inconsistencies. Inconsistency arises when different copies of the same data do not match due to errors or failure to update all instances simultaneously, impacting data integrity and reliability. Database management systems aim to reduce redundancy and ensure consistency through normalization and transaction processing techniques.
Redundancy refers to the repetitive data in the database consuming storage capacity unnecessarily . Also redundant data can cause ambiguity. Inconsistency refers to the inconsistency in the data in terms of standardized methods to store related data.
The full form of DBMS is Database Management System.
The first database management system (DBMS), known as the Integrated Data Store, was developed by Charles Bachman in 1963. This marked the beginning of modern database systems.
DBMS is the software to manage the data base.it is set of programs,modules,and packages specially designed to enable the users to manage this data base is called as data base management system.......
A Database Management System (DBMS) is a software that allows for efficient organization, storage, and retrieval of data in a structured manner. It provides features like data integrity, security, and concurrency control. In contrast, a conventional file system is a basic system for storing and retrieving files in a hierarchical structure, lacking the advanced functionalities of a DBMS.
In a database management system (DBMS), a view is a virtual table derived from one or more base tables. It allows users to query or manipulate data without directly accessing the underlying tables, providing a layer of abstraction and security. Views can simplify complex queries, hide sensitive information, and provide a consistent interface to the data.