Data redundancy is a data organization issue that allows the unnecessary
duplication of data within your Microsoft Access database. A change
or modification, to redundant data, requires that you make changes
to multiple fields of a database. While this is the expected behaviour
for flat file database designs and spreadsheets, it defeats the purpose
of relational database designs. The data relationships, inherent in
a relational database, should allow you to maintain a single data
field, at one location, and make the database's relational model
responsible to port any changes, to that data field, across the database.
Redundant data wastes valuable space and creates troubling database
maintenance problems
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
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.
Data redundancy Lack of data redundancy Data inconsistency Data security
A cyclic redundancy check error or CRC error occurs when the data verification value is a redundancy. This is used in detecting common errors caused by noise in transmission channels.
* Data redundancy and inconsistency. * Data isolation * Problem in atomicity of data * Difficulty to access data. * Security Problems
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.
coding redundancy interpixel redundancy psycovisual redundancy
one is a validation the other is redundancy clue is in the name
Data redundancy means storage of data.
In database we store data however the can be redundant. Redundancy means repetitive data that is taking extra storage space . So to reduce or prevent the storage space we should eliminate redundancy or just reduce it.
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.