controlling data redundancy
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
its called data redundancy.
problems associated with redundancy in data base,Redundancy occurs in same data multiple time tends to several problems some times redundancy controlling is necessary to improve the performance of the query.
DBMS stands for database management system. DBMS reduce data redundancy as it checks if the data is duplicate and if duplicate then store it as a single record.
controlling data redundancy
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
Data redundancy Lack of data redundancy Data inconsistency Data security
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one is a validation the other is redundancy clue is in the name
Data redundancy means storage of data.
Data redundancy in DBMS refers to the duplication of data within a database system. This can result in inconsistencies and inefficiencies, as well as consuming more storage space. It is important to minimize data redundancy in order to maintain data integrity and improve performance.
An example of data redundancy is when the same information is stored in multiple places in a database. For example, if customer addresses are stored in both an "order details" table and a "customer information" table, it creates redundancy. This redundancy can lead to inconsistencies if the data is not properly maintained.
Data redundancy
Redundancy.
its called data redundancy.