Thursday, February 10, 20001 Management of Information Systems: 45-870 Mini-3 Spring 2000.
Tuesday, February 1, 20001 Management of Information Systems: 45-870 Mini-3 Spring 2000.
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Transcript of Tuesday, February 1, 20001 Management of Information Systems: 45-870 Mini-3 Spring 2000.
Tuesday, February 1, 2000 2
Agenda Announcements Technology Byte Presentations Designing and Creating Databases
(Cont’d) Brief Review of Database Design Principles Using MS Access 2000 to Create Relational
Databases Writing Queries for Relational Databases Using MS Access 2000 to Write Queries for
Relational Databases
Tuesday, February 1, 2000 3
Announcements Technology Byte Presentations
Today (2/1): Section A: DeathSpiral.Com, E-Sixpack Section B: Jeree’s Kids, Hot TaMaLes
Thursday (2/3): Section A: Digital Agents, Hyperlinks Section B: Alwin & the Chipmunks, Cash
Money Brothers IT Exercise I Graded/Returned
Comments
Tuesday, February 1, 2000 4
Announcements Schedule modifications
There will be NO handout on Internet, Intranets, Extranets
Today we will continue with Database topics We will discuss Chapter 6 on Thursday (2/3)
IT Exercise II due no later than midnight this Friday, 2/4/00 Submit one set of answers for your team You can email to me as an MS Word
attachment or submit as hard copy
Tuesday, February 1, 2000 5
Announcements Technology Byte Report
Due on no later than midnight this Friday, 2/4/00
Submit as a web page linked to your team’s home page that you had created in the first IT exercise
Tuesday, February 1, 2000 6
Technology Byte Presentations Section A:
DeathSpiral.Com E-Sixpack
Section B: Jeree’s Kids Hot TaMaLes
Tuesday, February 1, 2000 7
Creating Relational Databases:Brief Review What is a relational database Going from a “flat” file to a
relational database…..
Tuesday, February 1, 2000 8
A Traditional “Flat” File
Dept-Name Dept-Chair Dept-AddressDept-Phone Fac-ID Fac-Name Fac-Rank Course-NameCourse# Course-Cred Course-CapComp Sci Miller BT 250 4-3555 7345 Ludwigsohn Professor Intro 7001 3 45Comp Sci Miller BT 250 4-3555 7345 Ludwigsohn Professor Vbasic 7232 4 25Comp Sci Miller BT 250 4-3555 7345 Ludwigsohn Professor VBasic2 7233 4 25Comp Sci Miller BT 250 4-3555 6000 Smith AssistProf DataStructure 7400 4 90Comp Sci Miller BT 250 4-3555 6000 Smith AssistProf Java 7100 3 25English Russo HHH 540 4-5333 5290 Russo AssocProf Composition 5050 4 20English Russo HHH 540 4-5333 5290 Russo AssocProf Speech 5025 3 15
Tuesday, February 1, 2000 9
Relational DataBase
Dept Chair Address Phone
CompSci Miller BT 250 4-3555
English Russo HHH 540 4-5333
CourseName
Course# Credits Prof-ID EnrollCap
Intro 7001 3 7345 45
VBasic 7232 4 7345 25
VBasic2 7233 4 7345 25
Faculty Table
Dept Table
Course Table
Fac-ID Name Rank Dept
7345 Ludwigsohn Professor CompSci
5290 Russo AssocProf English
Tuesday, February 1, 2000 10
How to get from a flat file to a relational database? Identify Entities (Tables) Identify Attributes (Fields) Normalize Entities Identify Relationships between
Normalized Entities Identify Primary and Foreign Keys
Tuesday, February 1, 2000 11
EXAMPLE #1: Department DBEXAMPLE #1: Department DB
Data include: Department Name Department Chair Department Address Department Phone Faculty ID # Faculty Name Faculty Rank
Course Name Course # Course Credits Course Enrollment Capacity
Tuesday, February 1, 2000 12
Step#1: Pull out repeating groups (First Normal Form)
Step#1: Pull out repeating groups (First Normal Form)
FROM:Department (Dept-Name, Dept-Chair, Dept-Addr, Dept-Phone,
Fac-ID, Fac-Name, Fac-Rank, Course-Name,Course#, Course-Cred, Course-Cap)
TO:Department (Dept-Name, Dept-Chair, Dept-Addr, Dept-Phone)
Faculty-Course (Fac-ID, Fac-Name, Fac-Rank, Course-Name,Course#, Course-Cred, Course-Cap)
Tuesday, February 1, 2000 13
Step#2: Pull out facts about a portion of the key(Second Normal Form)
Step#2: Pull out facts about a portion of the key(Second Normal Form)
Doesn’t apply here?
Tuesday, February 1, 2000 14
Step#3: Pull out facts about a non-key attribute(Third Normal Form)
Step#3: Pull out facts about a non-key attribute(Third Normal Form)
FROM:Faculty-Course (Fac-ID, Fac-Name, Fac-Rank, Course-Name,
Course#, Course-Cred, Course-Cap)
TO:Faculty (Fac-ID, Fac-Name, Fac-Rank)
Course (Course-Name, Course#, Course-Cred, Course-Cap)
Tuesday, February 1, 2000 15
Normalized Relations for this Data
Department (Dept-Name, Dept-Chair, Dept-Addr, Dept-Phone)
Faculty (Fac-ID, Fac-Name, Fac-Rank, Fac-Dept)
Course (Course-Name, Course#, Course-Cred, Course-Cap,
Course-Fac)
Tuesday, February 1, 2000 16
From Normalized Relations to an Entity Relationship Diagram
each normalized relation becomes an entity
identifier of each normalized relation becomes the primary key
secondary identifier of each normalized relation becomes a foreign key
Characteristics of each normalized relation determine relationship between entities
Tuesday, February 1, 2000 17
Entity Relationship Diagram Example #1
Department
Course Faculty
(Fac-ID, Fac-Name, Fac-Rank, Fac-Dept)
(Dept-Name, Dept-Chair, Dept-Addr, Dept-Phone)
(Course#, Course-Name,Course-Cred,Course-Cap,Course-Fac)
Tuesday, February 1, 2000 18
From an ERD to a Database in MS Access 2000 Adding Tables, Relationships and Data
By hand Importing from spreadsheet
Important! Must use normalized tables, relationships
and data when creating the database in MS Access
Illustration for Example 1 See Data for IT Exercise II and MS
Access Tips 1
Tuesday, February 1, 2000 19
Retrieving Data from Databases Selecting Relations Joining Relations Projecting columns (fields) from
the joined relation Selecting rows (records) from the
joined relation
Tuesday, February 1, 2000 20
Retrieving Data from Databases (Cont’d) Deriving new attributes Indexing/sorting rows (records) Calculating totals Presenting data
Tuesday, February 1, 2000 21
Writing Queries in MS Access 2000 See MS Access Tips 2
Simple queries Grouping, summing & sorting fields Selecting data Calculated fields Displaying/not displaying fields Make vs. Select Table queries
Illustrative Examples
Tuesday, February 1, 2000 22
Designing Databases:Another Example Normalizing and creating an ERD
for the Sales Report Data
Tuesday, February 1, 2000 23
EXAMPLE #2: Sales Report DataEXAMPLE #2: Sales Report Data
Data includes: Sales Person # Sales Person Name Sales Area Customer Name Customer Number Warehouse Number Warehouse Location Sales Amount
Tuesday, February 1, 2000 24
Step#1: Pull out repeating groups (First Normal Form)
Step#1: Pull out repeating groups (First Normal Form)
FROM:SalesReport (SalesPerson#, SalesPerson-Name, Sales-Area,
Customer#, Customer-Name, Warehouse#,Warehouse-Location, Sales-Amount)
TO:SalesPerson (SalesPerson#, SalesPerson-Name, Sales-Area)
SalesPerson-Customer (SalesPerson#, Customer#, Customer-Name, Warehouse#, Warehouse-Location, Sales-Amount)
Tuesday, February 1, 2000 25
Step#2: Pull out facts about a portion of the key(Second Normal Form)
Step#2: Pull out facts about a portion of the key(Second Normal Form)
FROM:SalesPerson-Customer (SalesPerson#, Customer#,
Customer-Name, Warehouse#, Warehouse-Location, Sales-Amount)
TO:Sales (SalesPerson#, Customer#, Sales-Amount)
Customer-Warehouse (Customer#, Customer-Name, Warehouse#, Warehouse-Location)
Tuesday, February 1, 2000 26
Step#3: Pull out facts about a non-key attribute(Third Normal Form)
Step#3: Pull out facts about a non-key attribute(Third Normal Form)
FROM:Customer-Warehouse (Customer#, Customer-Name,
Warehouse#, Warehouse-Location)TO:Customer (Customer#, Customer-Name)
Warehouse (Warehouse#, Warehouse-Location)
Tuesday, February 1, 2000 27
Normalized Relations for this Data
Sales (SalesPerson#, Customer#, Sales-Amount)
SalesPerson (SalesPerson#, SalesPerson-Name, Sales-Area)
Customer (Customer#, Customer-Name, Warehouse#)
Warehouse (Warehouse#, Warehouse-Location)