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It's based on the creation and manipulation of relational data structures (tables), which are defined by a list of attributes (columns) and contain zero or more items of data (tuples or rows) It supports a flexible, declarative query and update language This declarative nature implies that although queries may be specified in a higher-level language, they can be compiled (and potentially optimized) in a lower-level language for execution It supports integrity constraints, such as those that ensure uniqueness within a relation and those that guarantee consistency across relations

1 The new hard real-time kernel in Symbian OS 80 can commit to a particular response time On earlier versions of Symbian OS, the kernel has soft real-time capabilities and cannot make such guarantees

Earlier I said that we would be concerned with object/relational as well as relational databases At some point, you'll have to choose whether to work with your database in terms of objects (not just at the application level but at the database level) Truth be told, while object orientation has

United States By Summer 2002, restoring public confidence in the US markets became paramount Congress responded to the financial reporting fraud crisis by passing the Sarbanes-Oxley Act of 2002 The Act expanded the regulatory oversight and guidance for auditors,

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An active object s priority is only an indication of the order in which the active scheduler performs lookup and event-handling It does not re ect an ability to pre-empt other active objects

become a well-publicized feature of many heretofore relational databases, not many people who use these systems embrace a 100 percent object strategy Instead, it's probably safe to say that most enterprise deployments still work with the underlying relational tables of these databases while embracing an object-oriented point of view in one tier of the application system For example, EJBs are object oriented, but they're most commonly integrated with relational databases Also, keep in mind that object/relational databases are not the same as object-oriented databases (OODBMS) Although there are many differences between an OODBMS and a relational database system (RBMS), most practical object/relational systems are relational at their core

Art of Oversight*

There are two phases of database design: logical and physical Just as top-down design is important for standard programming practice, it's also important to start with a logical database design before moving on to the physical design Throughout logical database design, an engineer is concerned with how application requirements map into database requirements For example, if a business needs to keep track of employees and departments in its database, we need to develop a logical design that meets that goal A key process during logical database design is data modeling, or deciding how your application requirements translate into database structures, and then relating those structures The resulting data model represents a set of relationships among tables via attributes, thus illustrating how your data will be logically organized Surprisingly, even though the data model is a logical representation, choices made during the modeling phase have an impact on database performance Thus, the data model for an application is not to be taken lightly Throughout this section and the next, we'll be demonstrating database concepts in the context of a simple sample database that stores information about both company employees and departments For each employee, we want to store his or her name, date of hire, salary, and department For each department, we want to store its name and location on the company campus (eg, Building 5, Floor 6) Let's start by attempting to translate these simple requirements into a real data model

Figure 91 illustrates the roles and actions of the active scheduler, active object and the asynchronous service provider It extends Figure 81

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