Database Reference
In-Depth Information
Composite
Primary Key
LoanNo
PDate
Address
PAmount
LoanNo
PmntNo
CustName
Amount
CustNo
*
repays
PAYMENT
CUSTOMER
borrows
LOAN
*
*
1
*
*
Primary
Key
Strong Entity Type
Identifying
Relationship
Weak Entity Type
Simple Attribute
Cardinality
Indicator
AcctNo
liaises
StfSSNo
Balance
*
1
opens
ACCOUNT
1
STAFF
manages
*
FstName
ISA
DepndNme
StfName
SAVINGS
CHECKING
LstName
StfS rv ce
PhoneNo
Composite
Attribute
MidInitials
IntRate
StartDte
Overdraft
Derived
Attribute
Multi-valued
Attribute
Figure 7-21
E-R data model: recapitulation of components and notations.
Primary Key
Single attribute
Composite
Relationship
Names
Cardinality indicators
Maximum
Minimum
Identifying and nonidentifying
Optional and mandatory conditions
Gerund
Sample ERD
Let us bring all the principles and concepts of E-R data modeling together and
create a data model for the information requirements for a university. Assume that
the data model has to represent only the teaching aspects of the university. Ignore
other information relating to receivables, payables, salaries, administration, employ-
ees, and so on.
Consider the following requirements to be included in the model:
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