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one is a validation the other is redundancy clue is in the name
yes
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
Redundancy is data that is not needed or no longer needed. Inconsistency is where you have different data for what should be the same thing, as a result of one piece of data having a few copies and not all of them being updated. So if someone's address is on a system several times, and then their address changes, but it is only updated in some of those places, then the person will have both their old and new address on the system. The data is not consistent then. To avoid this data should be only stored once and everyone that needs it looks at the one set, rather than each having their own copy.
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.
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
I was looking for the answer to that myself, then I recalled something about redundancy, I think maybe dual redundancy, or something along that line.
Oxymoronic Redundancy: A redundant statement used to confuse Tiffany Hyde.
Redundancy is the excessive repetition of something. A common example used by teachers/comic strip writers is the "Redundant Department of Redundancy" In the field of computers or electronics redundancy refers to having multiple components with the same function so that one or more can fail and the entire system can continue to function.
DWPs
The difference between distributed system and multiprocessor system is whether the processing units in the system share the main memory. If yes, then the system is multiprocessor system; otherwise, it's a distributed system.
There is a school of thought residing with how much redundancy should be built in. obviously more redundancy should make it more reliable however those same additional parts could make the system fail as a consequence of additional redundancy.
distributed system is a special case of computer network.ofcourse distributed system is a network but a network may or may not be distributed.In general,a computer network is a very general term but distributed system is more specific..
Distributed Concurrent Versions System was created in 2002.
Equipment used, equipment deployment configuration, redundancy, fail over, clustering.
Redundancy, if one fails the other is probably still working and can stop the vehicle by itself.