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my answer is De-normalization.
De-normalization is the process of trying to improve the read performance of a database, at the expense of losing some write performance, by adding redundant copies of data or by grouping data. It is often motivated by performance or scalability in relational database software needing to carry out very large numbers of read operations.
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they also want that there should no inconsistency occur so i hop normalize database is consistent.. what you say??
No, Actually "De-normalization" will be wrong they both are opposite to each other in redundancies, We don't need redundancy in our database, So we must go for the Normalization Process.
"Normalization minimizes the redundancies that are present in data tables. Denormalization (reverse of normalization) adds redundant data or group data."
i think normalization is useful for an organization ..
what is your opinion ..?
but how SARA KHAN, u need to explain ur idea?
yea i know ..
thanks a lot ..!
i think normalization because it reduce redundancy and it is done to improve performance of query.
in may oppeninon normalization is best becuase
Normalized databases fair very well under conditions where the applications are write-intensive and the write-load is more than the read-load. This is because of the following reasons:
any one true solution today last date?
noor thanks for sharing
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