ch2 Flashcards

modeling data in the organization (35 cards)

1
Q

data integrity

A

ensure accuracy and precision in data

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2
Q

ER model

A

detailed, logical representation of data. Parts: entities, relationships, and attributes

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3
Q

relationship “grammar” model

A
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4
Q

read maximum cardinality on diagram

A

go to other side of line. max is always one closest to the other entity (think many)

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5
Q

what data modeling is all about

A

documenting rules and policies of organization

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6
Q

business rule

A

statement that defines of constrains some aspect of the business

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7
Q

rules identified by

A

ask who what when where why how

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8
Q

term

A

word that has a specific meaning for the business. example: course

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9
Q

fact

A

association between two or more terms. documented as simple

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10
Q

entity

A

a noun that organization wants to keep data for

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11
Q

entity type

A

collection of entities that share common attributes

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12
Q

entity instance

A

single occurance of an entity type

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13
Q

strong entity type

A

independent of other entity types

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14
Q

weak entity type

A

existance depends on some other entity type. if owner is deleted, weak also gets deleted

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15
Q

attribute

A

property or characteristic that is of interest

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16
Q

required attribute

A

must be present in each entity instance. often time symbolized by * or boldface

17
Q

composite attribute

A

has composite/separate parts. often parts marked in parentheses

18
Q

simple (atomic) attributes

A

does NOT have composite parts

19
Q

mutivalued attribute

A

field that will have more than one value for each instance. often marked in brackets

20
Q

derived attribute

A

values calculated from other values. like age from date. sometimes signified by ‘/’

21
Q

identifier

A

unique attribute like ID for each instance. should not have to change

22
Q

relationship

A

any association of an interaction between two or more entity types. represent business rules

23
Q

relationship type

A

meaningful association between entity types

24
Q

relationship instance

A

meaningful association between entity instances. only one of each entity allowed

25
relationship attribute
attribute that on on the relationship, not the two associated entities. "step away from one to many relationships"
26
associative entity
associate the instances of one or more entity types. look for many to many cardinality. MARKED BY CURVED RECTANGLE
27
degree of relationship
number of entitys that participate in the relationship
28
unary relationship
relationship between instances of ONE entity type
29
binary relationship
relationship between instances of two entity types
30
tertiary relationship
simultaneous relationship amoung instances of three entity types
31
cardinality constraint
rule that specifies number of instances that can have a relationship with another entity
32
maximum cardinality
maximum number of instances of B that can be associated with A
33
mandatory one
min and max are both ONE
34
HIPAA
healthcare record privacy act
35
time stamp
time associated with data