PLAGIARISM FREE "A" WORK DATA MANAGEMENT FINAL PROJECT
NORMALIZATION 1
Document involving customer orders Order Number Order Date Customer Number
51608 10/12/2015 126
51610 10/12/2015 334
51613 10/13/2015 386
51614 10/13/2015 260
51617 10/15/2015 586
51619 10/15/2015 126
51623 10/16/2015 586
Question One: Conversion of the User View to a Set of Relations While applying the normalization steps, the above set of view may be converted to bring about a
set of associations and this will appear in the third normal form. The user view will appear as
follows.
Order Number Date of ordering Customer Number
51608 10/12/2015 126
51619 10/15/2015 126
51614 10/13/2015 260
51610 10/12/2015 334
51613 10/13/2015 386
51617 10/15/2015 586
51623 10/16/2015 586
NB: As per Topi in 2009, normalization entails arrangement of a given set of data and as per the
above normalization, the set of views has been arranged by considering the order number and
then trying to characterize the related number so that the related numbers may follow each other.
NORMALIZATION 2
Question Two: The drawing of a Relational Schema
A
A relational schema tries to reveal the essential relationship between the involved items.
Therefore, in this case, it has been used to show the important association between the three
items. Since the order number is the key item of consideration, then it has been placed between
the other items so that it might act as a point of reference.
Question Three: Various Integrity Rules to Recommend
As a way of ensuring the privacy of the data within the above applications, various integrity rules
exist, and they are those that are intended to ensure that the data has not been interfered with.
One of them is that the data must be protected against any form of intrusion. The other one is
ensuring that it is only the recommended individuals who can access it, and this is also a sure
way of ensuring that it has been protected.
Order Number Date of ordering Customer Number
NORMALIZATION 3
Reference
Hoofer, Prescott & Topi. (2009). Normalization and denormalization of databases. P. 250