4-1 BUSI 240 Introduction to Information Systems Tuesday & Thursday 8:05am – 9:30am Wyant Lecture...
-
Upload
donald-bennett -
Category
Documents
-
view
215 -
download
1
Transcript of 4-1 BUSI 240 Introduction to Information Systems Tuesday & Thursday 8:05am – 9:30am Wyant Lecture...
4-1
BUSI 240Introduction to Information Systems
Tuesday & Thursday 8:05am – 9:30am
Wyant Lecture Hall
Please sign the roster on the back table.
5-2
AOL’s Bet on Another MakeoverAOL is trying to remake itself, yet again.
The new strategy in many ways resembles the old strategy: make acquisitions to attract traffic and reverse a continuing decline in advertising and revenue from its dial-up Internet service. In the latest iteration of its do-over, it is paying $315 million to buy the liberal news commentary site The Huffington Post, not long after paying $25 million to buy TechCrunch, the Silicon Valley technology news blog. http://www.nytimes.com/2011/02/08/technology/08aol.html?_r=2&ref=technology
Current Events – What’s going on?
5-3
Verizon Has Already Sold 500,000 iPhonesEstimates place the number of iPhone 4s sold by Verizon Wireless during its short-lived pre-sale at more than half a million.
function showDesc(img) { var element = document.getElementById("videoBoxDisplayAreaText"); if(element) element.innerHTML = img.alt; };
JPMorgan analyst Phil Cusick said in a note to clients today that it's likely 500,000 people purchased an iPhone 4 from Verizon Wireless during the 17-hour-long pre-sale that took place on February 3.
In order to reach this estimate, Cusick looked back at some clues given by Verizon Wireless in the past. http://www.informationweek.com/blog/main/archives/2011/02/verizon_has_alr.html
Current Events – What’s going on?
5-4
Quiz #2
Should have been taken by now.
4-5
Assignment #2
Select a product to evaluate: Digital camera Cell phone MP3 player Car Computer
Follow the steps on the spreadsheet to evaluate three models of the product
Due February 22nd Submit assignment to eComanion’s Drop Box
5-6
Assignment #2
Web sites with product reviews:www.cnet.comwww.consumerreports.orgwww.consumersearch.comwww.epinions.comreview.zdnet.comwww.consumerreview.com
Data Resource Management
Data ConceptsDatabase Management
Types of Databases
Chapter
5a
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
5-8
Examples of logical data elements
5-9
Fundamental Data Concepts
Character: single alphabetic, numeric or other symbolField or data item: a grouping of related characters
Represents an attribute (a characteristic or quality) of some entity (object, person, place or event)
Example: salaryRecord: grouping of all the fields used to describe the
attributes of an entityExample: payroll record with name, SSN and rate of
pay
5-10
Fundamental Data Concepts
File or table: a group of related recordsDatabase: an integrated collection of logically related
data elements
5-11
Electric Utility Database
Source: Adapted from Michael V. Mannino, Database Application Development and Design(Burr Ridge, IL: McGraw-Hill/Irwin, 2001), p. 6.
5-12
Database Structures
HierarchicalNetworkRelationalObject-orientedMultidimensional
5-13
Hierarchical Structure
Early DBMS structureRecords arranged in tree-like structureRelationships are one-to-many
5-14
Hierarchical Structure
5-15
Network Structure
Used in some mainframe DBMS packagesMany-to-many relationships
5-16
Network Structure
5-17
Relational Structure
Most widely used structureData elements are viewed as being stored in tablesRow represents recordColumn represents fieldCan relate data in one file with data in another file if
both files share a common data elementProvide more flexibility than hierarchical databases
because they allow users to easily receive information in response to ad hoc queries.
5-18
Relational Structure
5-19
Relational Operations
Select: Create a subset of records that meet a stated
criterionExample, select employees who make more than
$30,000Join
Combine two or more tables temporarilyLooks like one big table
ProjectCreate a subset of columns in a table
5-20
Multidimensional Structure
Variation of relational modelUses multidimensional structures to organize
dataData elements are viewed as being in cubesPopular for analytical databases that support
Online Analytical Processing (OLAP)
5-21
Multidimensional Model
5-22
Object-oriented Structure
Object consists ofData values describing the attributes of an entityOperations that can be performed on the data
Encapsulation: Combine data and operations
Inheritance: New objects can be created by replicated some
or all of the characteristics of parent objects
5-23
Object-oriented Structure
Source: Adapted from Ivar Jacobsen, Maria Ericsson, and Ageneta Jacobsen, The Object Advantage: Business Process Reengineering with Object Technology (New York: ACM Press, 1995), p. 65. Copyright @ 1995, Association for Computing Machinery. By permission.
5-24
Object-oriented Structure
Used in Object-oriented database management systems (OODBMS)
Supports complex data typesExamples, graphic images, video clips, web
pages
5-25
Evaluation of Database Structures
HierarchicalWorked for structured routine transaction
processingCan’t handle many-to-many relationships
NetworkMore flexible than hierarchicalUnable to handle ad hoc requests
RelationalEasily respond to ad hoc requestsEasier to work with and maintainNot as efficient or quick as hierarchical or network
5-26
Database Development
Database Administrator (DBA)In charge of enterprise database development
Data Definition Language (DDL)Develop and specify the data contents,
relationships and structureThese specifications are stored in data dictionary
Data dictionaryData base catalog containing metadataMetadata – data about data
5-27
Database Development
5-28
Data Planning Process
Enterprise ModelDefines basic business process of the enterpriseDefined by DBAs and designers with end users
Data ModelingRelationships between data elementsEntity Relationship Diagram (ERD) common tool
for modeling
5-29
Entity Relationship Diagram
5-30
Database Design Process
Logical designSchema – overall logical view of relationshipsSubschema – logical view for specific end usersData models for DBMS
Physical designHow data are to be stored and accessed on
storage devices
5-31
Logical and Physical Database Views