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Wednesday, February 27, 2013

Databas

Individual Project #1
James E. Rose Jr.
American Continental University

Unit 1 Individual Project
I am qualifying to discuss the traditional infobase designs and to describe each oneness for Mr. Culebra to
assume which of these would best suit his growing business. Let us get cracking with the hierarchical
model which organizes data in a tree structure. As you know, there is a hierarchy of upgrade and
electric s wee-weer data segments. This structure implies that a record can have repeating breeding,
generally in the pip-squeak segments. Data in a series of records, which have a set of empyrean values
attached to it. It collects all the instances of a specific record in concert as a record type.
These record types are the homogeneous of tables in the relational model, and with the individual
records being the equivalent of rows. To do links between these record types, the hierarchical
model uses set up Child Relationships. These are a 1:N subroutine between record types. This is
done by using trees, the likes of set theory used in the relational model, borrowed from maths. For
example, an organization might store information about an employee, such(prenominal) as name, employee
number, department, salary. The organization might also store information about an employees
tikeren, such as name and date of birth.

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The employee and children data forms a hierarchy,
where the employee data represents the parent segment and the children data represents the child
segment. If an employee has three children, then there would be three child segments associated
with one employee segment. In a hierarchical database the parent-child relationship is one to
many. This restricts a child segment to having only one parent segment. Hierarchical DBMSs
were popular from the late 1960s, with the introduction of IBMs Information caution
System (IMS) DBMS, through the 1970s.

Next, we have the network model: The popularity of the network data model coincided with the
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