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The entity-relationship (E-R) data model is based on a perception of a real world that consists of a set of basic objects called entities, and of relationships among these objects The model is intended primarily for the database-design process It was developed to facilitate database design by allowing the speci cation of an enterprise schema Such a schema represents the overall logical structure of the database This overall structure can be expressed graphically by an E-R diagram An entity is an object that exists in the real world and is distinguishable from other objects We express the distinction by associating with each entity a set of attributes that describes the object A relationship is an association among several entities The collection of all entities of the same type is an entity set, and the collection of all relationships of the same type is a relationship set Mapping cardinalities express the number of entities to which another entity can be associated via a relationship set A superkey of an entity set is a set of one or more attributes that, taken collectively, allows us to identify uniquely an entity in the entity set We choose a minimal superkey for each entity set from among its superkeys; the minimal superkey is termed the entity set s primary key Similarly, a relationship set is a set of one or more attributes that, taken collectively, allows us to identify uniquely a relationship in the relationship set Likewise, we choose a mini-

11:

The McGraw Hill Companies, 2001

the wizards To change general properties for IPSec L2L connections, go to Configuration | Site-to-Site VPN tab | Network (Client) Access | Advanced From here, you can edit the crypto maps, IKE Phase 1 policies, IKE parameters (like NAT-T), Phase 2 transform sets, crypto ACLs, and so on

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When you click the Device Management tab in the bottom-left corner of the Configuration pane, you can configure other properties of the appliance that didn t fall under any of the other Configuration tabs Figure 27-31 displays the Device Management tab options These include restricting management access to the appliance, the images to boot from or use, failover, logging, usernames and AAA, obtaining and managing certificates, DHCP settings, DNS servers and settings, and other properties

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The Monitoring section of ASDM allows you to see information, sometimes in a nearreal-time fashion, for processes running on the appliance You can view graphs of statistical information, like interface statistics, as well as information about existing connections You can access the monitoring screens by clicking the Monitoring button at the top of ASDM When clicking the Monitoring button, you can see various monitoring tabs in the left pane: Interfaces VPN Routing Properties

to the lending relation In general, the asset and city data for a branch must appear once for each loan made by that branch The repetition of information in our alternative design is undesirable Repeating information wastes space Furthermore, it complicates updating the database Suppose, for example, that the assets of the Perryridge branch change from 1700000 to 1900000 Under our original design, one tuple of the branch relation needs to be changed Under our alternative design, many tuples of the lending relation need to be changed Thus, updates are more costly under the alternative design than under the original design When we perform the update in the alternative database, we must ensure that every tuple pertaining to the Perryridge branch is updated, or else our database will show two different asset values for the Perryridge branch That observation is central to understanding why the alternative design is bad We know that a bank branch has a unique value of assets, so given a branch name we can uniquely identify the assets value On the other hand, we know that a branch may make many loans, so given a branch name, we cannot uniquely determine a loan number In other words, we say that the functional dependency branch-name assets holds on Lending-schema, but we do not expect the functional dependency branchname loan-number to hold The fact that a branch has a particular value of assets, and the fact that a branch makes a loan are independent, and, as we have seen, these facts are best represented in separate relations We shall see that we can use functional dependencies to specify formally when a database design is good Another problem with the Lending-schema design is that we cannot represent directly the information concerning a branch (branch-name, branch-city, assets) unless there exists at least one loan at the branch This is because tuples in the lending relation require values for loan-number, amount, and customer-name One solution to this problem is to introduce null values, as we did to handle updates through views Recall, however, that null values are dif cult to handle, as we saw in Section 334 If we are not willing to deal with null values, then we can create the branch information only when the rst loan application at that branch is made Worse, we would have to delete this information when all the loans have been paid Clearly, this situation is undesirable, since, under our original database design, the branch information would be available regardless of whether or not loans are currently maintained in the branch, and without resorting to null values.

Sales Volume Commission Formula Sales Volume Production 0 $750,000 $750,001 $1,000,000 Over $1,000,000 Commission Rate 0% 20% 36%

Functional dependencies play a key role in differentiating good database designs from bad database designs A functional dependency is a type of constraint that is a generalization of the notion of key, as discussed in s 2 and 3