with data redundancy there willbe more wastage of memory space as same type of data willbe saved many times
when to want to see the data all duplicate results will come
one is a validation the other is redundancy clue is in the name
In database there are number of issues to be handled ,like redundant data, inconsistent data, unorganized data etc. Redundancy of data is the repetitive data that is taking the storage unnecessarily . So the redundant data must be removed or at least reduced.
Reduced data redundancy, Improved data integrity, Shared data, Easier access, Reduced development time
yes. data redundancy is where there is duplication of data in a database. when this happens, anyone who has to make updates to a table in a database (that is, make changes to the database) will have to change that particular data that has been duplicated so many times in so many places. this creates a problem and it is not always going to be possible for a person to change everything correctly. this therefore leads to inconsistencies in the database. hope this helps.
it has a limitedamount of data
Data redundancy can lead to storage inefficiency, as the same information is stored multiple times. It can also increase the risk of inconsistencies or errors in the data, as updates may not be made consistently across all duplicates. Additionally, data redundancy can make data management and maintenance more complex and time-consuming.
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.
Data redundancy Lack of data redundancy Data inconsistency Data security
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
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.
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.
nothing!!
Data redundancy
Data redundancy: Sometime Data redundancy refers to in computer data storage, is a property of some disk arrays which provides fault tolerance, so that all or part of the data stored in the array can be recovered in the case of disk failure. The cost typically associated with providing this feature is a reduction of disk capacity available to the user, since the implementations require either a duplication of the entire data set, or an error-correcting code to be stored on the array.Redundancy is attained when the same data values are stored more than once in a table, or when the same values are stored in more than one table.One of the biggest disadvantages of data redundancy is that it increases the size of the database unnecessarily.