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UTA INSY 3304 EXAM QUESTIONS AND ANSWERS LATEST UPDATE (ALREADY GRADED A+)

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UTA INSY 3304 EXAM QUESTIONS AND ANSWERS LATEST UPDATE (ALREADY GRADED A+) Relational adv structural independence is promoted by use of independent tables -tabular view improves simplicity -ad hoc query based on SQL Relational disadv requires substantial hardware and system software overhead -simplicity makes it easy for untrained people to use tools poorly, and produce data anomalies -may promote island of info problems because ind and departments can easily develop own apps entity relationship adv visual modeling yield exceptional simplicity -visual simplicity makes effective communication tool -integrated with dominant relational model entity relationship disadv limited constraint repr -limited relationship repr -no data manipulation language -loss of info occurs when attributes are removed from entities to avoid crowded display object oriented adv semantic content is added -visual rep includes semantic content -inheritance promotes data integrity object oriented disavantages slow development of standards caused vendors to supply their own enhancements thus eliminating widely accepted standard -complex navigation system -steep learning curve -high sys overhead slows transactions NO SQL adv high scalability, availability, and fault tolerance provided -uses low cost hardware -supports BIG data -key-value model improves storage efficency

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UTA INSY 3304 EXAM QUESTIONS AND ANSWERS
LATEST UPDATE (ALREADY GRADED A+)
Relational adv

structural independence is promoted by use of independent tables
-tabular view improves simplicity
-ad hoc query based on SQL

Relational disadv

requires substantial hardware and system software overhead
-simplicity makes it easy for untrained people to use tools poorly, and produce data anomalies
-may promote island of info problems because ind and departments can easily develop own apps

entity relationship adv

visual modeling yield exceptional simplicity
-visual simplicity makes effective communication tool
-integrated with dominant relational model

entity relationship disadv

limited constraint repr
-limited relationship repr
-no data manipulation language
-loss of info occurs when attributes are removed from entities to avoid crowded display

object oriented adv

semantic content is added
-visual rep includes semantic content
-inheritance promotes data integrity

object oriented disavantages

slow development of standards caused vendors to supply their own enhancements thus eliminating
widely accepted standard
-complex navigation system
-steep learning curve
-high sys overhead slows transactions

NO SQL adv

high scalability, availability, and fault tolerance provided
-uses low cost hardware
-supports BIG data
-key-value model improves storage efficency

, NO SQL disadv

complex programming required
-no relationship support
-no transaction integrity support

Entity

person, place, thing, or event about which data will be collected and stored

attribute

char of an entity, CUSTOMER entity would be described by attributes such as last, first name

table

resembles files conceptually and logically with rows and columns

Row

tuple, represents a single entity occurrence within entity set

column

represents an attribute, and each column has distinct name

Attribute domain

each column has specific range of values

primary key

one or more attributes that uniquely identifies each row in table
-natural(distinguish real world objects)
-surrogate(simplify identification of entity instances)
-entity integrity(no null, must be unique, so each row is unique)

Foreign key

one or more attributes whose value matches the primary key value in a related table

-Referential integrity: if foreign key contains a value it must refer to an existing valid row in related table

Super key

attribute(for combination of attributes) that uniquely identifies each row in table

candidate key

minimal super key, super key that does not contain a subset of attributes that is itself a superkey

secondary key

used for data retrieval purposes

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