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DATABASES
Texas A&M University Commerce
Introduction
 Like a library, secondary storage
is designed to store information
 End users need to understand
 How such stored information is organized using data field, records, files and databases
 The different types of databases
and structures
 Competent end users need to be able to find information that is stored in databases
Data
 Examples of data include
 Facts or observations about people, places, things, and events
 Audio, music, photographs, and video
 Two ways to view data
 Physical view
 Logical view
Data Organization
 Character
 Field
 Record
 File
 Table
 Database
 Key Field
 Batch Versus Real-Time Processing
Key Field
 Unique identifier also known as primary field
 Common examples
 Social Security Number
 Student Identification Numbers
 Employee Identification Numbers
 Part Numbers
 Inventory Numbers
Batch Processing
 Batch processing
 Data is collected over a period of time and the processing happens later all at one time
Real-Time Processing
 Real-time processing
 Also known as online processing because it happens immediately during the transaction
Databases
 Collection of integrated data
 Logically related files and records
 Databases address data redundancy
and data integrity
 Need for databases
 Database management
Database Management
 DBMS engine
 Data definition
subsystem
 Data dictionary
 Data manipulation
subsystem
 Query-by-example
 Structured query language (SQL)
 Application generation subsystem
 Data administration subsystem
 DBMS programs are designed to work with data that is logically structured or
arranged
 Data models define rules and standards for data in a database
 Five common data models are
 Hierarchical database
 Network database
 Relational database
 Multidimensional database
 Object-oriented database
Hierarchical Database
 Fields or records are structured in nodes
 Nodes are points connected like branches
 One parent per node; a parent has several
child nodes (one-to-many relationship)
Network Database
 Hierarchical node arrangement
 Each child node may have more than one parent node (many-to-many relationship)
 Additional nodes are called pointers
 Nodes can be reached through multiple paths
Relational Database
 Data stored in table called a relation
 Tables consist of rows and columns
 Tables related via a common data item
Multidimensional Database
 A variation and an extension of the relational model to include additional
dimensions, sometimes called a data cube
 Good for representing complex relationships
 Advantages over relational
 Conceptualization
 Processing speed
Types of Databases
 Individual
 Company or shared
 Distributed
 Commercial
Individual Databases
 Also called a microcomputer database
 Integrated file collection for one person usually under the person’s direct control
 Generally stored on the user’s hard-disk drive or on a LAN file server
Company or Shared Databases
 Usually stored on a central database server and managed by a database
administrator
 Users throughout a company can access the database through the company’s
networks
Distributed Databases
 Database is located in a place or places other than where users are located
 Typically, database servers on a client/server network provide the link between
users and the distant data
Commercial Databases
 Generally an enormous database developed by an organization to cover particular
subjects
 Access is offered to the public
or selected outside individuals
for a fee
 Most commercial databases are designed for organizational and individual use
 Also referred to as information utilities or data banks
Database Uses and Issues
 Strategic uses
 Special type of database called data warehouse
 Data mining is used to search databases for information and patterns
 Security
 Databases are valuable
 Protection necessary
Questions
 Describe the five logical data groups or categories.
 What is the difference between batch processing and real-time processing?
 Identify and define the five parts of DBMS programs.
 Describe each of the five common database models.
 What are some of the benefits and limitations of databases? Why is security a
concern?

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TAMUC LO 8

  • 2. Introduction  Like a library, secondary storage is designed to store information  End users need to understand  How such stored information is organized using data field, records, files and databases  The different types of databases and structures  Competent end users need to be able to find information that is stored in databases
  • 3. Data  Examples of data include  Facts or observations about people, places, things, and events  Audio, music, photographs, and video  Two ways to view data  Physical view  Logical view
  • 4. Data Organization  Character  Field  Record  File  Table  Database  Key Field  Batch Versus Real-Time Processing
  • 5. Key Field  Unique identifier also known as primary field  Common examples  Social Security Number  Student Identification Numbers  Employee Identification Numbers  Part Numbers  Inventory Numbers
  • 6. Batch Processing  Batch processing  Data is collected over a period of time and the processing happens later all at one time
  • 7. Real-Time Processing  Real-time processing  Also known as online processing because it happens immediately during the transaction
  • 8. Databases  Collection of integrated data  Logically related files and records  Databases address data redundancy and data integrity  Need for databases  Database management
  • 9. Database Management  DBMS engine  Data definition subsystem  Data dictionary  Data manipulation subsystem  Query-by-example  Structured query language (SQL)  Application generation subsystem  Data administration subsystem
  • 10.  DBMS programs are designed to work with data that is logically structured or arranged  Data models define rules and standards for data in a database  Five common data models are  Hierarchical database  Network database  Relational database  Multidimensional database  Object-oriented database
  • 11. Hierarchical Database  Fields or records are structured in nodes  Nodes are points connected like branches  One parent per node; a parent has several child nodes (one-to-many relationship)
  • 12. Network Database  Hierarchical node arrangement  Each child node may have more than one parent node (many-to-many relationship)  Additional nodes are called pointers  Nodes can be reached through multiple paths
  • 13. Relational Database  Data stored in table called a relation  Tables consist of rows and columns  Tables related via a common data item
  • 14. Multidimensional Database  A variation and an extension of the relational model to include additional dimensions, sometimes called a data cube  Good for representing complex relationships  Advantages over relational  Conceptualization  Processing speed
  • 15. Types of Databases  Individual  Company or shared  Distributed  Commercial
  • 16. Individual Databases  Also called a microcomputer database  Integrated file collection for one person usually under the person’s direct control  Generally stored on the user’s hard-disk drive or on a LAN file server
  • 17. Company or Shared Databases  Usually stored on a central database server and managed by a database administrator  Users throughout a company can access the database through the company’s networks
  • 18. Distributed Databases  Database is located in a place or places other than where users are located  Typically, database servers on a client/server network provide the link between users and the distant data
  • 19. Commercial Databases  Generally an enormous database developed by an organization to cover particular subjects  Access is offered to the public or selected outside individuals for a fee  Most commercial databases are designed for organizational and individual use  Also referred to as information utilities or data banks
  • 20. Database Uses and Issues  Strategic uses  Special type of database called data warehouse  Data mining is used to search databases for information and patterns  Security  Databases are valuable  Protection necessary
  • 21. Questions  Describe the five logical data groups or categories.  What is the difference between batch processing and real-time processing?  Identify and define the five parts of DBMS programs.  Describe each of the five common database models.  What are some of the benefits and limitations of databases? Why is security a concern?