ch2 Flashcards

modeling data in the organization

1
Q

data integrity

A

ensure accuracy and precision in data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

ER model

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

relationship “grammar” model

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what data modeling is all about

A

documenting rules and policies of organization

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

business rule

A

statement that defines of constrains some aspect of the business

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

rules identified by

A

ask who what when where why how

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

term

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

fact

A

association between two or more terms. documented as simple

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

entity

A

a noun that organization wants to keep data for

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

entity type

A

collection of entities that share common attributes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

entity instance

A

single occurance of an entity type

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

strong entity type

A

independent of other entity types

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

weak entity type

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

attribute

A

property or characteristic that is of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
Q

relationship attribute

A

attribute that on on the relationship, not the two associated entities. “step away from one to many relationships”

26
Q

associative entity

A

associate the instances of one or more entity types. look for many to many cardinality. MARKED BY CURVED RECTANGLE

27
Q

degree of relationship

A

number of entitys that participate in the relationship

28
Q

unary relationship

A

relationship between instances of ONE entity type

29
Q

binary relationship

A

relationship between instances of two entity types

30
Q

tertiary relationship

A

simultaneous relationship amoung instances of three entity types

31
Q

cardinality constraint

A

rule that specifies number of instances that can have a relationship with another entity

32
Q

maximum cardinality

A

maximum number of instances of B that can be associated with A

33
Q

mandatory one

A

min and max are both ONE

34
Q

HIPAA

A

healthcare record privacy act

35
Q

time stamp

A

time associated with data