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Transcript
Chapter
5
Data Resource Management
Data Concepts
Database Management
Types of Databases
McGraw-Hill/Irwin
Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
Traditional File Processing
 Data
stored in independent files
 Problems:
 Data
redundancy
 Lack of data integration
 Data dependence – files, storage devices, and software
are dependent on each other
 Lack of data integrity or standardization
5-2
Examples of logical data elements
5-3
Fundamental Data Concepts
 Character:
single alphabetic, numeric or other
symbol
 Field or data item: a grouping of related characters
 Represents
an attribute (a characteristic or quality) of
some entity (object, person, place or event)
 Example: salary
 Record:
grouping of all the fields used to describe
the attributes of an entity
 Example:
pay
5-4
payroll record with name, SSN and rate of
Fundamental Data Concepts
 File
or table: a group of related records
 Database: an integrated collection of logically related
data elements
5-5
Database Structures
Relational Structure
 Most
widely used structure
 Data elements are viewed as being stored in tables
 Row represents record
 Column represents field
 Can relate data in one file with data in another file if
both files share a common data element
5-6
Relational Structure
5-7
Relational Operations (Query)
 Select:
 Create
a subset of records that meet a stated criterion
 Example, select employees who make more than
$30,000
 Join
 Combine
two or more tables temporarily
 Looks like one big table
 Project
 Create
5-8
a subset of columns in a table
Section II
Data Resource Management
 Managerial
activity
 Applies IS technologies like data management and
data warehousing to manage data resources to meet
the information needs of business stakeholders
5-9
Types of databases
5-10
Type of Databases (1)
 Operational
Databases
 Store detailed data to support business processes
 Ex. customer database, inventory database
 Distributed
Databases
 Copies or parts of databases on servers at a variety
of locations
5-11
Type of Databases (2)
 External
Databases
 Databases available for a fee from commercial
online services or free from World Wide Web
 Ex. statistical databanks, bibliographic
 Hypermedia Database
 Website database
 Consists of hyperlinked pages of multimedia (text,
graphics, video, and audio)
5-12
Data Warehouse
 Stores
historical data that has been extracted from the
operational, external and other databases
 Data has been cleaned, transformed and cataloged
 Used by managers and professionals for
 Data
mining,
 Online analytical processing,
 Business analysis,
 Market research,
 Decision support
 Data
mart is subset of warehouse for specific use of
department
5-13
Data Mining
 Data
in data warehouse are analyzed to reveal
hidden patterns and trends
Examples:
 Perform
market-basket analysis to identify new
business processes
 Find root causes to quality problems
 Cross sell to existing customers
 Profile customers with more accuracy
5-14