Learning
Outcomes
- Define the fundamental concepts of the relational database model
- Evaluate the advantages of the relational database model
- Compare relational integrity constraints and business-critical integrity constraints
- Describe the benefits of a data driven Web site
- Describe the two primary methods for integrating information across multiple databases
Relational
Database Fundamentals
-Information is everywhere in an
organization
-Information is stored in databases
Database –
maintains information about various types of objects (inventory), events
(transactions), people (employees), and places (warehouses)
- Database models include:
- Hierarchical database model – information is organized into a tree-like structure (using parent/child relationships) in such a way that it cannot have too many relationships
- Network database model – a flexible way of representing objects and their relationships
- Relational database model – stores information in the form of logically related two-dimensional tables
Entity – a person, place, thing, transaction,
or event about which information is stored
- The rows in each table contain the entities
- In Figure 7.1 CUSTOMER includes Dave’s Sub Shop and Pizza Palace entities
Attributes
(fields,
columns) – characteristics or properties of an
entity class
- The columns in each table contain the attributes
- In Figure 7.1 attributes for CUSTOMER include Customer ID, Customer Name, Contact Name
Keys
and Relationships
- Primary keys and foreign keys identify
the various entity classes (tables) in the database
Primary
key
– a field (or group of fields) that uniquely identifies a given entity in a
table
Foreign
key
– a primary key of one table that appears an attribute in another table and
acts
to provide a logical relationship among the two tables
- Potential relational database for
Coca-Cola
Relational
Database Advantages
- Database advantages from a business
perspective include
- Increased flexibility
- Increased scalability and performance
- Reduced information redundancy
- Increased information integrity (quality)
- Increased information security
Increased
Flexibility
-A well-designed database should:
- Handle changes quickly and easily
- Provide users with different views
- Have only one physical view
- Physical view – deals with the physical storage of information on a storage device
- Logical view – focuses on how users logically access information
Increased
Scalability and Performance
- A database must scale to meet increased
demand, while maintaining acceptable
performance levels
- Scalability – refers to how well a system can adapt to increased demands
- Performance – measures how quickly a system performs a certain process or transaction
Reduced
Information Redundancy
- Databases reduce information redundancy
Redundancy –
the duplication of information or storing the same information in multiple
places
- Inconsistency is one of the primary
problems with redundant information
Increase
Information Integrity (Quality)
Information
integrity – measures the quality of information
Integrity
constraint – rules that help ensure the quality of
information
- Relational integrity constraint
- Business-critical integrity constraint
Increased
Information Security
- Information is an organizational asset
and must be protected
- Databases offer several security features
including:
- Password – provides authentication of the user
- Access level – determines who has access to the different types of information
- Access control – determines types of user access, such as read-only access
Database
Management Systems
Database
management systems (DBMS) – software
through which users and application
programs interact with a database
DATA-DRIVEN
WEB SITES
Data-driven
Web sites – an interactive Web site kept constantly
updated and relevant to
the needs of its customers through the use of a
database
Data-Driven
Web Site Business Advantages
- Development
- Content Management
- Future Expandability
- Minimizing Human Error
- Cutting Production and Update Costs
- More Efficient
- Improved Stability
Data-Driven
Business Intelligence
- BI in a data-driven Web site
Integrating
Information among Multiple Databases
- Integration – allows separate systems to communicate
directly with each other
- Forward integration – takes information entered into a given system and sends it automatically to all downstream systems and processes
- Backward integration – takes information entered into a given system and sends it automatically to all upstream systems and processes
- Building a central repository
specifically for integrated information
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