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5 O p t i o n a l 1-M R e l a t i o n s h i p R u l e : Each 1-M relationship with 0 for the minimum car dinality on the parent side b e c o m e s a n e w table The primary key o f the n e w table is the primary key o f the entity type o n the child (many) side o f the relationship The n e w table contains foreign keys for the primary keys o f both entity types participating in the rela tionship Both foreign keys in the n e w table do not permit null values The n e w table also contains the attributes o f the optional 1-M relationship Rule 5 is controversial U s i n g Rule 5 in place o f Rule 2 ( 1 - M Relationship Rule) avoids null values in foreign keys However, the use o f Rule 5 results in more tables Query formulation can be more difficult with additional tables In addition, query execution can be slower due to extra joins The choice o f using Rule 5 in place o f Rule 2 depends on the importance o f avoiding null values versus avoiding extra tables In many databases, avoid ing extra tables m a y be more important than avoiding null values HOUKt 625 Optional 1-M Relationship with an Attribute Agent

As discussed just above, the majority of Cisco network devices are compatible with several types of links for both LAN and WAN connections Depending on the link type, different cabling and connectors are required to support traffic flow The following sections describe some of these link types and the connections and cables they use

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A high-level data model serves the database designer by providing a conceptual framework in which to specify, in a systematic fashion, what the data requirements of the database users are, and how the database will be structured to ful ll these requirements The initial phase of database design, then, is to characterize fully the data needs of the prospective database users The database designer needs to interact extensively with domain experts and users to carry out this task The outcome of this phase is a speci cation of user requirements Next, the designer chooses a data model, and by applying the concepts of the chosen data model, translates these requirements into a conceptual schema of the database The schema developed at this conceptual-design phase provides a detailed overview of the enterprise Since we have studied only the E-R model so far, we shall

The McGraw Hill Companies, 2001

WAN connections are required when companies need to communicate among buildings or across distances Several types of WAN connections are available for various bandwidth and availability requirements Most WAN connections are made through serial interfaces This section gives a brief overview of ISDN technology, followed by details on the various types of serial connectors and their cable requirements

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Conversion of Figure 625 (SQL:2003 Syntax)

use it to develop the conceptual schema Stated in terms of the E-R model, the schema speci es all entity sets, relationship sets, attributes, and mapping constraints The designer reviews the schema to con rm that all data requirements are indeed satis ed and are not in con ict with one another She can also examine the design to remove any redundant features Her focus at this point is describing the data and their relationships, rather than on specifying physical storage details A fully developed conceptual schema will also indicate the functional requirements of the enterprise In a speci cation of functional requirements, users describe the kinds of operations (or transactions) that will be performed on the data Example operations include modifying or updating data, searching for and retrieving speci c data, and deleting data At this stage of conceptual design, the designer can review the schema to ensure it meets functional requirements The process of moving from an abstract data model to the implementation of the database proceeds in two nal design phases In the logical-design phase, the designer maps the high-level conceptual schema onto the implementation data model of the database system that will be used The designer uses the resulting systemspeci c database schema in the subsequent physical-design phase, in which the physical features of the database are speci ed These features include the form of le organization and the internal storage structures; they are discussed in 11 In this chapter, we cover only the concepts of the E-R model as used in the conceptual-schema-design phase We have presented a brief overview of the database-design process to provide a context for the discussion of the E-R data model Database design receives a full treatment in 7 In Section 282, we apply the two initial database-design phases to our bankingenterprise example We employ the E-R data model to translate user requirements into a conceptual design schema that is depicted as an E-R diagram.

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