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attribute Attendance indicating whether the employee attended the appointment If you are using
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Part Three
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Data Modeling
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ERD for Problem 18
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the ER Assistant or another drawing tool that supports data type specification, choose appropri ate data types for the attributes based on your common knowledge 22 Extend the ERD from problem 21 with the Location entity type and a 1-M relationship from Lo cation to Appointment Choose an appropriate relationship name using your common knowledge of interactions between locations and appointments Define minimum cardinalities so that a location is optional for an appointment and an appointment is optional for a location For the Location entity type, add attributes LocNo (primary key), LocBuilding, LocRoomNo, and LocCapacity If you are using the ER Assistant or another drawing tool that supports data type specification, choose appropriate data types for the attributes based on your common knowledge
5
Understanding Entity Relationship Diagrams
FIGURE 5P2 ERD for Problem 19
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23 Extend the ERD in problem 22 with the Calendar entity type and an M-N relationship from Appointment to Calendar Choose an appropriate relationship name using your common knowl edge of interactions between appointments and calendars Define minimum cardinalities so that an appointment is optional for a calendar and a calendar is mandatory for an appointment For the Calendar entity type, add attributes CalNo (primary key), CalDate, and CalHour If you are using the ER Assistant or another drawing tool that supports data type specification, choose appropriate data types for the attributes based on your common knowledge 24 Revise the ERD from problem 23 by transforming the M-N relationship between Employee, and Appointment into an associative entity type along with two identifying 1-M relationships
Part Three
Data Modeling
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Four specialized books on database design are Batini, Ceri, and Navathe (1992); Nijssen and Halpin (1989); Teorey (1999); and Carlis and Maguire (2001) The DBAZine site (wwwdbazinecoml and the DevX help site fwwwdevxcom') have plenty of practical advice about database development j j ] j g if y i ( i ijjjg details about the UML, consult the UML Center ("umlcentervisual-paradigmcom/indexhtml) for tutorials and other resources
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Developing Data Models for Business Datab
Learning Objectives
This chapter extends your knowledge of data modeling from the notation of entity relationship diagrams (ERDs) to the development of data models for business databases along with rules to convert entity relationship diagrams to relational tables After this chapter, the student should have acquired the following knowledge and skills: Develop ERDs that are consistent with narrative problems Use transformations to generate alternative ERDs D o c u m e n t design decisions implicit in an ERD Analyze an ERD for c o m m o n design errors Convert an ERD to a table design using conversion rules
Overview
5 explained the Crow's Foot notation for entity relationship diagrams You learned about diagram symbols, relationship patterns, generalization hierarchies, and rules for consistency and completeness Understanding the notation is a prerequisite for applying it to represent business databases This chapter explains the development o f data models for busi ness databases using the Crow's Foot notation and rules to convert E R D s to table designs To b e c o m e a g o o d data modeler, y o u need to understand the notation in entity relation ship diagrams and get plenty o f practice building diagrams This chapter provides practice with applying the notation You will learn to analyze a narrative problem, refine a design through transformations, document important design decisions, and analyze a data model for c o m m o n design errors After finalizing an ERD, the diagram should be converted to relational tables so that it can be implemented with a commercial D B M S This chapter presents rules to convert an entity relationship diagram to a table design You will learn about the basic rules to convert c o m m o n parts o f a diagram along with specialized rules for less c o m m o n parts o f a diagram
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