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The central portion of the SQL Server interface is Enterprise Manager. Microsoft has standardized on moving its various heterogeneous tools to a single, extensible interface called Microsoft Management Console (MMC). Enterprise Manager is a plug-in that works within MMC to provide a uniform look and feel between different types of administration tools. It uses HTML capabilities to provide clear information about the status of databases and the various options available. Figure 4-8 shows the sort of information you might see in Enterprise Manager. Almost all of the functions you will regularly have to perform on an installation of SQL Server can be performed from within this interface. Enterprise Manager supports accessing remote servers from within a single interface. A list of all the tasks available would be impossible, but Microsoft has taken the time to make some of the most complex operations accessible using wizards. A good example is the Database Maintenance Plan Wizard, which can automatically create and schedule jobs for performing database backup operations. (We ll revisit the example in 6.)
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A database schema, defined simply, is a statement of the relationships between database objects. Specifically, this means the relationships between tables using primary keys and foreign keys (discussed earlier). A great deal of time can (and should!) be spent in designing a database schema that meets business requirements. Usually, a database schema is represented in an Entity Relationship Diagram (ERD). These diagrams should display information about the tables in a specific database schema and document their interactions. Developers and database administrators can use ERDs when programming or managing database objects. To make the task easier, SQL Server Enterprise Manager includes a tool that can be used to simplify many of the tasks involved. By using this tool, you can quickly and easily create, manage, and maintain database tables and definitions. Figure 4-9 shows a database schema for the pubs sample database (which is installed with SQL Server).
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Schema created in Enterprise Manager for the pubs database
SQL Server 7 Backup & Recovery
Data Transformation Services
On many different data platforms and RDBMSs, transferring data between systems can be quite a headache. Different database servers store information using various data types and in proprietary structures. Often, transferring information requires exporting information to a standard comma-separated values (CSV) file and then manually importing the information. Microsoft has made the entire process much easier by providing Data Transformation Services (DTS) with SQL Server 7. This architecture allows database designers and administrators to easily transfer information between supported information types. Through various interfaces, DTS supports moving information to and from nonrelational structures, such as Microsoft Excel and Access files, or from other database servers, such as Oracle. The easiest way to transfer information is to use the DTS Export Wizard (see Figure 4-10), which is included with SQL Server. The wizard walks you through the creation of basic packages that transfer data. In addition to performing the important tasks of transferring information between heterogeneous sources, DTS goes one step further in letting you modify data as it is transferred. This is extremely important, because various systems might use different formats for the same information. For example, one database might store the information about a customer s status as Active or Inactive, whereas another might have a true-false setting for a column entitled Active. This can be used for data warehousing (as described later in this chapter) or for moving heterogeneous data into a single, uniform repository. Figure 4-11 shows a sample DTS package that copies data from several sources into a single database server.
Figure 4-10.
Using the DTS Export Wizard to transfer information
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Figure 4-11.
Designing a DTS package
In some cases, you might want to run an operation just once (to copy a database, for example). In others, however, you might want to periodically coalesce data from multiple sources or perform exports to another server. To support this, DTS operations can be saved as packages, which can be stored on SQL Server for later use. The packages can also be modified as business requirements change. Finally, you can easily schedule a package to be executed at any time.
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