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When a backup is performed, a database administrator may choose to perform one of three operations. First, if this media has never been used before, it can be initialized. The initialization process writes the appropriate header information to the backup device and prepares it for storing the first backup set. The other two options are available if the device has already been initialized. To preserve the contents of the device and add the backup set to the end, the APPEND option is specified. To delete all existing contents of the device, the OVERWRITE option is specified. (We ll see how to qualify these operations later in this section when we discuss the BACKUP command.)

WHERE QUOTA > TARGET NAME -----------Bill Adams Sue Smith Larry Fitch QUOTA ----------$350,000.00 $350,000.00 $350,000.00 CITY TARGET ------- -----------Denver $300,000.00 Denver $300,000.00 Denver $300,000.00

Design and Business Intelligence 369 Business Intelligence and SQL Generation 370 SQL Generators 370 The Limitations of SQL Generators 373 Guidelines for the Semantic Layer 375 Features to Avoid 375 Features to Use 377 Working with SQL-Generating BI Tools 379 Multiple Stars 379 Semi-Additivity 385 Browse Queries 387 Bridge Tables 390 Working with Cube-Based BI 396 Cube-Centric Business Intelligence 396 Auto-Generation of Cubes 398 Summary 401 Further Reading 402 Design and ETL 403 The ETL Process 404 A Complex Task 404 Tools Used by the ETL Process 404 Architecture and the ETL Process 404 Loading a Star 405 A Top-Level Dependency 405 Loading a Dimension Table 406 Loading the Fact Table 412 Optimizing the Load 417 Changed Data Identification 418 Simplifying Processing 419 Cleansing Data 420 What Should Be Cleaned Up 421 Cleaning Up Dimensional Data 422 Facts with Invalid Details 423 Housekeeping Columns 425 Housekeeping Columns in Dimension Tables .

One of the last things you ll probably want to see when your data is at stake is a systems administrator fumbling through a pile of media chanting, It s got to be in here somewhere! Avoid this frightening scenario by making sure that your backup tapes are clearly labeled. Keep in mind that it is very easy to forget to change tapes and thus have a full backup overwritten by the last transaction log backup. Organization is extremely important, because you will likely be managing many different pieces of removable media as well as disk-based backups. Fortunately, SQL Server offers ways to help manage media and devices. SQL Server 7 includes a media retention value that can be defined as a server-wide setting. This value specifies the default amount of time that must elapse before backups expire and the media can be reused. The purpose is to protect against accidental overwriting of media files. If you attempt to overwrite data before the retention period has passed, SQL Server will give you a warning. This option can, however, be overridden in the event that you are sure the media is no longer needed. The default setting is to retain media for 0 days (thereby effectively disabling the feature). To set the media retention value using Enterprise Manager: 1. Right-click the name of a server and select Properties. 2. Click the Database Settings tab. 3. For Default Backup Media Retention, select a value for the number of days that the media should be retained. Valid values are from 0 through 365. 4. Click OK to save the setting.

425 Housekeeping and Fact Tables 426 Summary 427 Further Reading 429 How to Design and Document a Dimensional Model 431 Dimensional Design and the Data Warehouse Life Cycle 431 The Strategic Importance of Dimensional Design 432 When to Do Dimensional Design 434.

As in all two-table queries, each row of the query results comes from a pair of rows, in this case from the SALESREPS and OFFICES tables. The search condition: QUOTA > TARGET selects pairs of rows where the QUOTA column from the SALESREPS row exceeds the TARGET column from the OFFICES row. Note that the pairs of SALESREPS and OFFICES rows selected are related only in this way; it is specifically not required that the SALESREPS row represent someone who works in the office represented by the OFFICES row. Admittedly, the example is a bit farfetched, and it illustrates why joins based on inequalities are not very common. However, they can be useful in decision-support applications and other applications that explore more complex interrelationships in the database.

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