1. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-1 COS 346 Day 7

2. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-2 Agenda Questions? Assignment Two Not Corrected yet –Will have done by Monday Assignment 3 posted –Due Feb 16 –Use VISIO (quick lesson later) –http://www.utexas.edu/courses/mis325/tutorial/visio/visio.htmhttp://www.utexas.edu/courses/mis325/tutorial/visio/visio.htm Finish Discussion on Data Modeling with the Entity-Relationship Model

3. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-3 David M. Kroenke’s Chapter Five: Data Modeling with the Entity-Relationship Model Part Three Database Processing: Fundamentals, Design, and Implementation

4. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-4 Mixed Patterns: The Line-Item Pattern

5. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-5 Mixed Patterns: The Line-Item Pattern

6. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-6 Mixed Patterns: Other Mixed Patterns Look for a mixed pattern where: –A strong entity has a multivalued composite group, and –One of the elements of the composite group is an identifier of another strong entity

7. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-7 Mixed Patterns: Other Mixed Patterns ???

8. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-8 Mixed Patterns: Other Mixed Patterns

9. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-9 Mixed Patterns: The For-Use-By Pattern

10. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-10 Mixed Patterns: The For-Use-By Pattern

11. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-11 Recursive Relationships A recursive relationship occurs when an entity has a relationship to itself

12. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-12 Recursive Patterns: 1:1 Recursive Relationship

13. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-13 Recursive Patterns: 1:N Recursive Relationship

14. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-14 Recursive Patterns: N:M Recursive Relationship

15. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-15 David M. Kroenke’s Database Processing Fundamentals, Design, and Implementation (10 th Edition) End of Presentation: Chapter Five Part Three

16. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-16 David M. Kroenke’s Chapter Five: Data Modeling with the Entity-Relationship Model Part Four Database Processing: Fundamentals, Design, and Implementation

17. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-17 Highline University The Highline University [HU] database will track such entities as: –Colleges –Departments –Faculty –Students We have gathered a set of HU reports that will be the source documents for a data model

18. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-18 The College Report

19. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-19 Data Model from the College Report This is a weak, but not ID-dependent, 1:N relationship

20. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-20 The Department Report

21. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-21 The DEPARTMENT / PROFESSOR Relatioship: Alternate Model 1: Using an N:M Relationship This is an N:M relationship

22. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-22 VISIO Issues

23. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-23 The DEPARTMENT / PROFESSOR Relatioship: Alternate Model 2: Using a 1:N Relationship This is a 1:N relationship

24. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-24 The DEPARTMENT / PROFESSOR Relatioship: Alternate Model 3: Using an Association Pattern This is an association pattern

25. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-25 The DEPARTMENT / PROFESSOR Relatioship: Alternate Model 4: Using a Association Pattern and a 1:N Relationship This is an association pattern This is a 1:1 relationship

26. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-26

27. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-27 The Department Major Report

28. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-28 Data Model with STUDENT Entity

29. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-29 The Student Acceptance Letter

30. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-30 Data Model with Advises Relationship

31. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-31 Final Highline University Data Model

32. DAVID M. KROENKE’S DATABASE PROCESSING, 10th Edition © 2006 Pearson Prentice Hall 5-32 David M. Kroenke’s Database Processing Fundamentals, Design, and Implementation (10 th Edition) End of Presentation: Chapter Five Part Four