Ch2 Flashcards

1
Q

Business rules

A
  • statements that define or contrain
  • give businesss structure
  • derived from policies/prcodeus
  • are automated through dbms and known by end users
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

4 categories of busienss rules

A
  1. terms: these are entities (term is defined as…)
  2. facts: relationships in an erd, attributed in an erd, or a generalization structure
  3. constraints: prevent an action from taking place
  4. derivations: define how knowledge in one form can be transformed into knowledgein another form
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

characterisitcs of good business rules

A

declarative, precise, atomic, consistent, expressible, distinct, business oriented

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

entity legend:
strong
weak a
associative
(Entity types)

A

rectangle

double rectangle

rounded corners

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

entity legend attributes

IDENTIFIER
PARTIAL IDENTIIFER
optional
[Derived]
{mv}
compo(os,it,e)

A

underline

double underline

derived from metadata

skills

several parts

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

what is an entity

A

person place object event or concept

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

entity type

A

cllection of entities that share common property

(Strong,weak,…)

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

enetitiy instancen

A

one occurence of an entity type (so one data row)

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

are reports entities?

A

no

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

attributre

A

property or characteiristc of an entity or relationship typecl

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

classifications of attributes

A

required v optional

simple v comp

single value v multiv

stored v derived

identifer

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

associative entity? two types

A
  1. attribute on a relationship (like the recntagle box coming off a dashed line)
  2. assciiative entity (a rounded edges square b/w 2 m:m)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

does weak ent have unique ID

A

no only a partial!

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

A value that indicates the date or time of a data value is called a:

A

timestamp

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

In the following diagram, which is true? item/bom structrure

A

many to many!!!

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

An entity type name should be all of the following EXCEPT:

A

AS SHORT AS POSSIBLE

16
Q

In an E-R diagram, there are/is ________ business rule(s) for every relationship.

A

TWO

17
Q

A good data definition will describe all of the characteristics of a data object EXCEPT:

A

who can delete data

18
Q

fact is an association between 2+ terms

A

TRMSMMSSMMS

19
Q

The number of entity types that participate in a relationship is called the:

A

DEGREEEEEEEEEE

20
Q

The most common types of entities are:

A

STRONG

21
Q

which of the following is NOT a agood characterisitc of a data name

RELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEMRELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEM

A

RELATES TO TECHNICAL CHARACTERISTIC OF THE SYSTEM

22
Q

WHy data modeling important?

data characterisics are important

A
23
Q

data def does not say whp can delete data!!

A
24
Q
A