Chapter 11
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The document discusses databases and information systems. It describes how databases organize and store data, as well as the advantages of using databases. It then defines key database terminology like fields, records, tables, and primary keys. It also outlines the main types of databases and database management systems. Database management systems have four main operations - creating databases and entering data, viewing and sorting data, extracting data, and outputting data. The document finally discusses information systems and how they are used to gather, process, store, and provide output of information to assist with business operations and decision making.
Chapter 11
- 1. Chapter 11 Behind the Scenes: Databases and Information Systems Source: http://www.danscartoons.com
- 2. Databases Electronic collections of related data Help us organize data Turn data into information
- 3. Advantages of Using Databases Store and retrieve large quantities of information Enable information sharing Provide data centralization Promote data integrity Allow for flexible use of data
- 4. Database Terminology Field Category of information displayed in columns Each field has a field name Field Name
- 5. Database Terminology Data types Text Numeric Computational Date Memo Object Hyperlink
- 6. Database Terminology Record A group of related fields Record
- 7. Database Terminology Table A group of related records Table
- 8. Database Terminology Primary key A field value unique to a record Primary Key
- 9. Database Types Relational databases Organize data in a table Link tables to each other through their primary keys Object-oriented databases Stores data in objects Handles unstructured data Multidimensional databases Stores data in multiple dimensions Can easily be customized Process data much faster
- 10. Database Management Systems (DBMS) Application software designed to capture and analyze data Four main operations of a DBMS are: Creating databases and entering data Viewing and sorting data Extracting data Outputting data
- 11. 1. Creating Databases and Entering Data Create field names: Identify each type of data Data dictionary
- 12. Creating Databases and Entering Data (cont) Create individual records: Key-in Import
- 13. Data Validation Validation Process of ensuring data entered into the database is correct (or at least reasonable) and complete Validation rules Range check Completeness check Consistency check Alphabetic/numeric checks
- 14. 2. Viewing and Sorting Data Browse through records Sort records by field name Before sort After sort
- 15. 3. Extracting or Querying Data Query A question or inquiry Provides records based on criteria Structured query language (SQL) SQL
- 16. 4. Outputting Data Reports: Printed Summary data reports Export data
- 17. Relational Database Operations Relational databases organize data into tables based on logical groupings Relationships are links between tables with related data Common fields between tables need to exist Normalization of data (recording data once) reduces data redundancy
- 18. Data Storage Data warehouses A large scale repository of data Organizes all the data related to an organization Data is organized by subject
- 19. Source data Internal sources Company databases, etc. External sources Suppliers, vendors, etc. Customers or Web site visitors Clickstream data Populating Data Warehouses
- 20. Data staging Extract data from source Reformat the data Store the data Software programs/procedures created to extract the data and to reformat it for storage Data Staging
- 21. Small slices of data Data of a single department Data Marts
- 22. Data Warehouse
- 23. Managing Data: Information Systems Information systems Software-based solutions used to gather and analyze information Functions performed by information systems include Acquiring data Processing data into information Storing data Providing output options
- 24. Information Systems Categories Office support Transaction processing Management Decision support
- 25. Office Support Systems (OSS) Assist employees in day-to-day tasks Improve communications Microsoft Office
- 26. Transaction Processing Systems (TPS) Keeps track of everyday business activities Batch processing Real-time processing
- 27. Management Information Systems (MIS) Provides timely and accurate information for managers to make business decisions Detail report: Transactions that occur during a period of time Summary report: Consolidate detailed data Exception report: Show unusual conditions
- 28. Decision Support Systems (DSS) Help managers develop solutions for specific problems
- 29. Data Mining Process by which data are analyzed and investigated Objective is to spot patterns or trends within the data
- 30. Data Mining Methods Classification Define data classes Estimation Assign a value to data Affinity grouping or association rules Determine which data goes together Clustering Organize data into subgroups Description and visualization Provides a clear picture of what is happening
Editor's Notes
- #2: This chapter explores the basic building blocks from which databases are created. We discuss important features of databases and the types of database programs organizations use. We also discuss the various types of information systems that use databases and explore modern data storage designs, such as data warehouses. Finally, we examine how data can be further analyzed (or “mined”) to yield information beyond the original scope of the database design.