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A Graded Discussion Board for Database Management System (CS403) will be opened on Thursday 16 February, 2017 and it will be closed on Friday 17 February, 2017.

Discussion Topic

Suppose an organization wants to develop a database and according to the nature of their operations, most of the tasks require extensive reporting and data read operations on the database for real time decision making. On the other hand, while performing write operations, organization also wants to make sure that no inconsistencies should occur in their database. Now as an expert of databases, you are required to suggest the organization that either they should go for normalized database design or de-normalized database design? Provide at least two proper reasons to support your answer.

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Replies to This Discussion

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:

  • Normalized tables are usually smaller and have a smaller foot-print because the data is divided vertically among many tables. This allows them to perform better as they are small enough to get fit into the buffer.
  • The updates are very fast because the data to be updated is located at a single place and there are no duplicates.
  • Similarly the inserts are very fast because the data has to be inserted at a single place and does not have to be duplicated.
  • The selects are fast in cases where data has to be fetched from a single table, because normally normalized tables are small enough to get fit into the buffer.
  • Because the data is not duplicated so there is less need for heavy duty group by or distinct queries.

any one true solution today last date?

 noor thanks for sharing 

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