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Logical Database Design A Normalization Process

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Foundation of Logical Database Design Normalization Theory - a theoretical ... ZIPTABLE (ZIP, City, State) Candidate Key(s): ZIP. Primary Key: ZIP. Foreign Key: none ... – PowerPoint PPT presentation

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Title: Logical Database Design A Normalization Process


1
Logical Database DesignA Normalization Process
  • Shaun Simpson
  • MIS 372
  • Database Management

2
Outline
  • What is Logical Database Design?
  • A Design Overview
  • Relational Model and Basic Concepts
  • Why Normalization?
  • Basic Terminology for Normalization Theory

3
What is Logical Database Design?
? Transform
  • Logical database design - A formal process to
    transform a conceptual model (e.g., an E-R model)
    into a logical (normalized) database model
  • Foundation of Logical Database Design
    Normalization Theory - a theoretical methodology
    to remove potential design errors (anomalies)!!

4
Logical Database DesignAn Overview
Conceptual Data Model An E-R Diagram
First Normal forms - ??th Normal Form
Normalization
Relation Integration
Combine end-user group views into a global view
(i.e.,a relation)
Logical Data Model (Flat Tables)
5
Relational Data ModelBasic Concepts
  • A relation -- a 2-D table with rows and columns

6
Relational Data Model Basic Concepts (contd)
  • Basic Approach -- Using the Embedded Key Scheme

Embedded Keys
7
Relational Data Model Basic Properties of a
Relation
  • Relation - A flat two-dimensional table
  • Each row is uniquely identified (No duplicates!)
  • the order of rows is insignificant!!
  • the order of columns is insignificant!!
  • All columns are atomic (single values)
  • All values in each column drawn from the same
    value domain (meaning is same).

8
Why Normalization?To avoid Anomalies and Enhance
...
  • To avoid operational anomalies
  • Addition anomaly - there is a difficulty in
    adding data when facts already exist
  • Update anomaly - change in data must be recorded
    in more than one place in database
  • Deletion anomaly - information is unexpectedly
    lost due to some deletion of data
  • To enhance data integrity
  • values must be Consistent and Accurate!!
  • To reduce data redundancy
  • No duplications except the connection keys!

9
Data AnomaliesExamples
Addition
Deletion
Update
10
Normalization TheoryBasic Terminology - A Review
  • Key Any attribute or a set of attributes that
    can serve as a unique identifier to a row in a
    relation.
  • Candidate Key - Any possible unique identifiers
    found in a relation
  • Primary Key - the identifier that is chosen to
    serve as the key for each row in a table.
  • Foreign Key - Any attribute or a set of
    attributes that serves as a primary key in other
    relations

11
Normalization TheoryTerminology Review - An
Example
  • STUDENT (SID, Name, SSN, Phone, Address, ZIP)
  • Candidate Key(s)
  • Primary Key
  • Foreign Key
  • ZIPTABLE (ZIP, City, State)
  • Candidate Key(s)
  • Primary Key
  • Foreign Key

12
Normalization TheoryTerminology Review - An
Example
  • STUDENT (SID, Name, SSN, Phone, Address, ZIP)
  • Candidate Key(s) SID, SSN
  • Primary Key can be either SID or SSN
  • Foreign Key ZIP
  • ZIPTABLE (ZIP, City, State)
  • Candidate Key(s) ZIP
  • Primary Key ZIP
  • Foreign Key none

13
Normalization TheoryMore on Basic Terminology
  • In a relation, there are two kinds of attributes
  • key attribute - an attribute that is used as a
    key or part of the key
  • non-key attribute - otherwise.
  • Ex EMPLOYEE (EID, Name, B_date,Phone,SSN,Addr)
  • TRANSCRIPT (SID, CourseID,
    Semester,Year,Grade)
  • Simple Key A key that contains only one
    attribute
  • Composite (Compound) Key A key that includes
    more than one attribute
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