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Principles of Information Systems - Chapter 5


Principles of Information Systems Sixth Edition, Written by Ralph Star, George Reynolds

Principles of Information Systems Sixth Edition, Written by Ralph Star, George Reynolds

Published in Education , Technology
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  • Chapter 5, organizing data and information, describes basic concepts that are essential to understanding the key functions in, and impacts of, data storage and database management systems. Most organizations have a significant amount of data; but for that data to be useful, it must be properly organized and easily accessible. Many firms develop databases in order to manage data more efficiently. Designed correctly, databases can contribute to organizational success by providing information to help reduce costs, increase profits, track past activities, and forecast the future. After study in chapter five, you should be able to address the learning objectives described in the following 2 slides.


  • 1. Organizing Data and Information Chapter 5
  • 2. Principles and Learning Objectives
    • The database approach to data management provides significant advantages over the traditional file-based approach.
      • Define general data management concepts and terms, highlighting the advantages and disadvantages of the database approach to data management.
      • Name three database models and outline their basic features, advantages, and disadvantages.
  • 3. Principles and Learning Objectives
    • A well-designed and well-managed database is an extremely valuable tool in supporting decision making.
      • Identify the common functions performed by all database management systems and identify three popular end-user database management systems.
  • 4. Principles and Learning Objectives
    • The number and types of database applications will continue to evolve and yield real business benefits
      • Identify and briefly discuss current database applications.
  • 5. The Hierarchy of Data
  • 6. Data Entities, Attributes, and Keys
  • 7. The Traditional versus the Database Approach to Data Management
  • 8. The Traditional Approach
  • 9. Traditional Approach
    • Data redundancy
    • Program-data dependence
    • Data integrity
  • 10. Database Approach
  • 11. Advantages of the Database Approach
  • 12. Advantages of the Database Approach
  • 13. Disadvantages of the Database Approach
  • 14. Data Modeling & Database Models
  • 15. Data Modeling and Database Models
    • Content - What data should be collected?
    • Access - What data should be given to what users?
    • Logical structure - How will the data be organized to make sense to a particular user?
    • Physical organization - Where will the data actually be located?
  • 16. Data Modeling
    • Enterprise data modeling
    • Planned data redundancy
    • Data model
    • Entity-relationship diagrams
  • 17. Entity-Relationship (ER) Diagrams
  • 18. Data Models
    • Hierarchical models
    • Network models
    • Relational models
  • 19. Hierarchical (Tree) Models
  • 20. Network Models
  • 21. Relational Models
  • 22. Relational Models
  • 23. Data Cleanup
  • 24. Database Management Systems (DBMSs)
    • Provide a user view
    • Create and modify the database
    • Store and retrieve data
    • Manipulate data
    • Produce reports
  • 25. Creating and Modifying the Database
  • 26. Data Definition Language
  • 27. Creating and Modifying the Database
  • 28. Data Dictionary Benefits
    • Reduced data redundancy
    • Faster program development
    • Easier data & information modification
    • Increased data reliability
  • 29. Storing and Retrieving Data
  • 30. Structured Query Language
  • 31. Database Output
  • 32. Popular Database Management Systems
  • 33. Selecting a DBMS
    • Database size
    • Number of concurrent users
    • Performance
    • Integration
    • Features
    • Vendor
    • Cost
  • 34. Database Management Systems
  • 35. Data Warehouses
  • 36. Comparison of OLTP and Data Warehousing
  • 37. Database Developments
    • Data warehouses
    • Data marts
    • Data mining
  • 38. Data Mining
  • 39. Distributed Databases
  • 40. On-Line Analytical Processing
  • 41. Open Database Connectivity (ODBC )
  • 42. Object-Relational Database Management Systems
    • Stores objects
    • Hypermedia
    • Spatial data technology
  • 43. Summary
    • Data - one of the most valuable resources a firm possesses
    • Entity - a generalized class of objects for which data is collected, stored, and maintained
    • DBMS - a group of programs used as an interface between a database and application programs
    • Traditional on-line transaction processing (OLTP) - do not support the types of data analysis needed today