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Figure 4-6 shows a small relational database for an order-processing application. This sample database is used throughout this book and provides the basis for most of the examples. Appendix A contains a complete description of the database structure and its contents. The sample database contains five tables. Each table stores information about one particular kind of entity: I The CUSTOMERS table stores data about each customer, such as the company name, credit limit, and the salesperson who calls on the customer. I The SALESREPS table stores the employee number, name, age, year-to-date sales, and other data about each salesperson. I The OFFICES table stores data about each of the five sales offices, including the city where the office is located, the sales region to which it belongs, and so on. I The ORDERS table keeps track of every order placed by a customer, identifying the salesperson who took the order, the product ordered, the quantity and amount of the order, and so on. For simplicity, each order is for only one product. I The PRODUCTS table stores data about each product available for sale, such as the manufacturer, product number, description, and price.



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4:

Summary

Figure 4-6.

MapInfo class objects store the information about a particular map. WorldRegion objects consist of a RegionName property and a Maps property, which is a reference to a list of MapInfo objects. namespace TreeBound { class WorldRegion { public string RegionName { get; set; } public List<MapInfo> Maps { get; set; } public WorldRegion( string name ) { Maps = new List<MapInfo>(); RegionName = name; } } class MapInfo { public string LastName public string FirstName public string Title public string Year public string Description public Uri Picture





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The organizing principle in a relational database is the table, a rectangular row/ column arrangement of data values. Each table in a database has a unique table name that identifies its contents. (Actually, each user can choose his or her own table names without worrying about the names chosen by other users, as explained in 5.) The row/column structure of a table is shown more clearly in Figure 4-7, which is an enlarged view of the OFFICES table. Each horizontal row of the OFFICES table represents a single physical entity a single sales office. Together the five rows of the table represent all five of the company s sales offices. All of the data in a particular row of the table applies to the office represented by that row. Each vertical column of the OFFICES table represents one item of data that is stored in the database for each office. For example, the CITY column holds the location of each office. The SALES column contains each office s year-to-date sales total. The MGR column shows the employee number of the person who manages the office.

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In this chapter we explored the nature of the telecom industry: Who are the players, what are their roles, and perhaps most important, what is the future that awaits them In the final chapter, we delve into the past before we examine the future, looking at the now infamous telecom bubble.

Figure 4-7.

Each row of a table contains exactly one data value in each column. In the row representing the New York office, for example, the CITY column contains the value "New York". The SALES column contains the value "$692,637.00", which is the yearto-date sales total for the New York office. For each column of a table, all of the data values in that column hold the same type of data. For example, all of the CITY column values are words, all of the SALES values are money amounts, and all of the MGR values are integers (representing employee numbers). The set of data values that a column can contain is called the domain of the column. The domain of the CITY column is the set of all names of cities. The domain of the SALES column is any money amount. The domain of the REGION column is just two data values, "Eastern" and "Western", because those are the only two sales regions the company has. Each column in a table has a column name, which is usually written as a heading at the top of the column. The columns of a table must all have different names, but there is no prohibition against two columns in two different tables having identical names. In fact, frequently used column names, such as NAME, ADDRESS, QTY, PRICE, and SALES, are often found in many different tables of a production database. The columns of a table have a left-to-right order, which is defined when the table is first created. A table always has at least one column. The ANSI/ISO SQL standard does

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