1. Data Resource Management Chapter 5 Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin

2. 5-2 Learning Objectives Explain the business value of implementing data resource management processes and technologies in an organization Outline the advantages of a database management approach to managing the data resources of a business, compared with a file processing approach Explain how database management software helps business professionals and supports the operations and management of a business

3. 5-3 Learning Objectives Provide examples to illustrate the following concepts –Major types of databases –Data warehouses and data mining –Logical data elements –Fundamental database structures –Database development

4. 5-4 Logical Data Elements

5. 5-5 Logical Data Elements Field (data item) RecordCharacter Represents an attribute (quality or characteristic) of some entity (object, person, place, event) Examples… salary, job title Grouping of all the fields used to describe the attributes of an entity Example… payroll records with name, SSN, pay rate A single alphabetic, numeric, or other symbol

6. 5-6 Logical Data Elements File (table, flat file) Database Group of related records Integrated collection of logically related data elements

7. 5-7 Electric Utility Database

8. 5-8 Common Database Structures: Hierarchical –Early DBMS structure –Records arranged in tree-like structure –Relationships are one-to-many

9. 5-9 Common Database Structures: Network –Used in some mainframe DBMS packages –Many-to-many relationships

10. 5-10 Common Database Structures: Relational Most widely used structure –Data elements are stored in tables –Row represents a record; column is a field –Can relate data in one file with data in another, if both files share a common data element

11. 5-11 Common Database Structures: Multidimensional Variation of relational model –Uses multidimensional structures to organize data –Data elements are viewed as being in cubes –Popular for analytical databases that support Online Analytical Processing (OLAP)

12. 5-12 Multidimensional Model

13. 5-13 Common Database Structures: Object-Oriented Source: Adapted from Ivar Jacobsen, Maria Ericsson, and Ageneta Jacobsen, The Object Advantage: Business Process Reengineering with Object Technology (New York: ACM Press, 1995), p. 65. Copyright @ 1995, Association for Computing Machinery. By permission.

14. 5-14 Evaluation of Database Structures Hierarchical Works for structured, routine transactions Can’t handle many-to-many relationship Network More flexible than hierarchical Unable to handle ad hoc requests Relational Easily responds to ad hoc requests Easier to work with & maintain Not as efficient or quick as hierarchical or network

15. 5-15 Database Development Database Administrator (DBA) In charge of enterprise-wide database development Improves integrity and security of organizational databases Uses Data Definition Language (DDL) to develop and specify data content, relationships, and structure Stores these specifications in a data dictionary or metadata repository

16. 5-16 Data Dictionary Contains data about data (metadata) Relies on specialized software component to manage a database of data definitions Can be active or passive Contains information on… Security Database maintenance Requirements for end users’ access and use of applications Names and descriptions of all types of data records and their interrelationships

17. 5-17 Database Development

18. 5-18 Entity Relationship Diagram

19. 5-19 Logical and Physical Database Views

20. 5-20 Data Resource Management Data resource management is a managerial activity –Uses data management, data warehousing, and other IS technologies –Manages data resources to meet the information needs of business stakeholders

21. 5-21 Types of Databases

22. 5-22 Operational Databases Stores detailed data needed to support businesses and operations Also called subject area databases (SADB), transaction databases, and production databases Database examples: customer, human resource, inventory

23. 5-23 Distributed Databases Distributed databases are copies or parts of databases stored on servers at multiple locations Advantages Disadvantages Protection of valuable data Data can be distributed into smaller databases Each location has control of its local data All locations can access any data, anywhere Improved database performance at worksites Maintaining data accuracy

24. 5-24 Distributed Databases Look at each distributed database and find changes Apply changes to each distributed database Very complex One database is master Duplicate the master after hours, in all locations Easier to accomplish Requires extra computing power & bandwidth Duplication Replication

25. 5-25 External Databases Databases available for a fee from the Web, or from commercial online services Search engines like Google or Yahoo are external databases Hypermedia databases Statistical databases Bibliographic and full-text databases

26. 5-26 Components of Web-Based System A hypermedia database contains –Hyperlinked pages of multimedia –Interrelated hypermedia page elements, rather than interrelated data records

27. 5-27 Data Warehouses Central source of data that has been cleaned, transformed, and cataloged Stores static data that has been extracted from other databases in an organization Subsets of data that focus on specific aspects of a company (department or process) Data warehouses may be divided into data marts Data is used for data mining, analytical processing, analysis, research, decision support

28. 5-28 Data Warehouse Components

29. 5-29 Applications and Data Marts

30. 5-30 Data Mining

31. 5-31 Traditional File Processing Data are organized, stored, and processed in independent files Each business application uses specialized data files containing specific types of data records Problems Data redundancy Lack of data integration Data dependence (files, storage devices, software) Lack of data integrity or standardization

32. 5-32 Traditional File Processing - Banks

33. 5-33 Database Management Approach The foundation of modern methods of managing organizational data A database management system (DBMS) is the software interface between users and databases Consolidates data records, formerly in separate files, into databases Data can be accessed by many different application programs

34. 5-34 Database Management Approach

35. 5-35 Database Management System In mainframe and server computer systems, database management software is used to… Create new databases and database applications Maintain the quality of the data in an organization’s databases Use the databases of an organization to provide the information needed by end users

36. 5-36 Common DBMS Software Components

37. 5-37 Database Management System Database Development –Defining and organizing the content, relationships, and structure of the data needed to build a database Database Application Development –Using DBMS to create prototypes of queries, forms, reports, Web pages Database Maintenance –Using transaction processing systems and other tools to add, delete, update, and correct data

38. 5-38 DBMS Major Functions

39. 5-39 Database Interrogation End User Makes DBMS Query Response is a video display or a printed report Query Language Immediate response to ad hoc data requests Report Generator Quickly specify a format for information you want to present as a report No programming required

40. 5-40 Database Interrogation SQL Queries –Structured, international standard query language found in many DBMS packages –Query form is SELECT … FROM … WHERE …

41. 5-41 Database Interrogation Boolean Logic –Developed by George Boole in the mid-1800s –Used to refine searches to specific information –Has three logical operators: AND, OR, NOT Example –Cats OR felines AND NOT dogs OR Broadway

42. 5-42 Database Interrogation Most DBMS packages offer easier-to-use point-and-click methods Translates queries into SQL commands It is difficult to correctly phrase SQL and other database language search queries Natural language query statements are similar to conversational English Graphical and Natural Queries

43. 5-43 Microsoft Query Wizard

44. 5-44 Database Maintenance Accomplished by transaction processing systems and other applications, with the support of the DBMS –Done to reflect new business transactions and other events –Updating and correcting data, such as customer addresses

45. 5-45 Application Development Use DBMS software development tools to develop custom application programs Not necessary to develop detailed data- handling procedures using conventional programming languages Can include data manipulation language (DML) statements that call on the DBMS to perform necessary data handling