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Organizing Data and Information Chapter 5
Principles and Learning Objectives <ul><li>The database approach to data management provides significant advantages over t...
Principles and Learning Objectives <ul><li>A well-designed and well-managed database is an extremely valuable tool in supp...
Principles and Learning Objectives <ul><li>The number and types of database applications will continue to evolve and yield...
The Hierarchy of Data
Data Entities, Attributes, and Keys
The Traditional versus the Database Approach to Data Management
The Traditional Approach
Traditional Approach <ul><li>Data redundancy </li></ul><ul><li>Program-data dependence </li></ul><ul><li>Data integrity </...
Database Approach
Advantages of the Database Approach
Advantages of the Database Approach
Disadvantages of the Database Approach
Data Modeling & Database Models
Data Modeling and Database Models <ul><li>Content  -  What data should be collected? </li></ul><ul><li>Access  -  What dat...
Data Modeling <ul><li>Enterprise data modeling </li></ul><ul><li>Planned data redundancy </li></ul><ul><li>Data model </li...
Entity-Relationship (ER) Diagrams
Data Models <ul><li>Hierarchical models </li></ul><ul><li>Network models </li></ul><ul><li>Relational models </li></ul>
Hierarchical (Tree) Models
Network Models
Relational Models
Relational Models
Data Cleanup
Database Management  Systems (DBMSs) <ul><li>Provide a user view </li></ul><ul><li>Create and modify the database </li></u...
Creating and Modifying the Database
Data Definition Language
Creating and Modifying the Database
Data Dictionary Benefits <ul><li>Reduced data redundancy </li></ul><ul><li>Faster program development </li></ul><ul><li>Ea...
Storing and Retrieving Data
Structured Query Language
Database Output
Popular Database Management Systems
Selecting a DBMS <ul><li>Database size </li></ul><ul><li>Number of concurrent users </li></ul><ul><li>Performance </li></u...
Database Management Systems
Data Warehouses
Comparison of OLTP and Data Warehousing
Database Developments <ul><li>Data warehouses </li></ul><ul><li>Data marts </li></ul><ul><li>Data mining </li></ul>
Data Mining
Distributed Databases
On-Line Analytical Processing
Open Database Connectivity  (ODBC )
Object-Relational Database  Management Systems <ul><li>Stores objects </li></ul><ul><li>Hypermedia </li></ul><ul><li>Spati...
Summary <ul><li>Data  - one of the most valuable resources a firm possesses </li></ul><ul><li>Entity  - a generalized clas...
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Principles of Information Systems - Chapter 5

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

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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.
  • Transcript of "Principles of Information Systems - Chapter 5"

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