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When you need to retrieve data from a database, you use the SQL language to make the request. The DBMS processes the SQL request, retrieves the requested data, and returns it to you. This process of requesting data from a database and receiving back the results is called a database query hence the name Structured Query Language. The name Structured Query Language is actually somewhat of a misnomer. First of all, SQL is far more than a query tool, although that was its original purpose and retrieving data is still one of its most important functions. SQL is used to control all of the functions that a DBMS provides for its users, including: Data definition. SQL lets a user define the structure and organization of the stored data and relationships among the stored data items. Data retrieval. SQL allows a user or an application program to retrieve stored data from the database and use it. Data manipulation. SQL allows a user or an application program to update the database by adding new data, removing old data, and modifying previously stored data. Access control. SQL can be used to restrict a user's ability to retrieve, add, and modify data, protecting stored data against unauthorized access. Data sharing. SQL is used to coordinate data sharing by concurrent users, ensuring that they do not interfere with one another.

Sales Report 2008 Period Q1 Region North South East West North South East West Sales Calls 288 301 229 733 315 322 277 704 Proposals Orders Revenue Yield 101 212 77 279 299 201 104 266 75 135 60 200 90 140 75 188 9,150 16,470 7,320 24,400 10,980 17,080 9,150 22,936 26% 45% 26% 27% 29% 43% 27% 27%

Make your future By putting limitations on the amount of information you will back up, you can be sure that certain limits won t be exceeded. Systems administrators may choose to put archive policies in place based on storage used. A typical policy might allow users to store up to 100MB of data on network shares for backup. If this amount is exceeded, certain data can be either archived or removed from the backup schedule. Politically, this can be quite challenging to implement, but it might make sense when data protection costs are significant and increasing faster than budgets.

Figure 4-13

Based on these guidelines, you ll get a good estimate of the amount of information you want to protect. Keep in mind that the numbers do not have to be exact. As we ll see, backup products come in a variety of capacities. If you re lucky, the choice for your organization, based on data requirements, speed, and budget, will be quite obvious. Otherwise, you can always choose to err on the side of safety by choosing a solution that will scale well in the future.

Data integrity. SQL defines integrity constraints in the database, protecting it from corruption due to inconsistent updates or system failures. SQL is thus a comprehensive language for controlling and interacting with a database management system. Second, SQL is not really a complete computer language like COBOL, C, C++, or Java. SQL contains no IF statement for testing conditions, and no GOTO, DO, or FOR statements for program flow control. Instead, SQL is a database sublanguage, consisting of about forty statements specialized for database management tasks. These SQL statements can be embedded into another language, such as COBOL or C, to extend that language for use in database access. Alternatively, they can be explicitly sent to a database management system for processing, via a call level interface from a language such as C, C++, or Java. Finally, SQL is not a particularly structured language, especially when compared to highly structured languages such as C, Pascal, or Java. Instead, SQL statements resemble English sentences, complete with "noise words" that don't add to the meaning of the statement but make it read more naturally. There are quite a few inconsistencies in the SQL language, and there are also some special rules to prevent you from constructing SQL statements that look perfectly legal, but don't make sense. Despite the inaccuracy of its name, SQL has emerged as the standard language for using relational databases. SQL is both a powerful language and one that is relatively easy to learn. The quick tour of SQL in the next chapter will give you a good overview of the language and its capabilities.

Clearly, this sameness of dimensions is crucial for drilling across. It will be formalized and extended in 5, as the principle of conformed dimensions. Conformed dimensions are the key to ensuring that analysis can cross multiple stars or even multiple subject areas. Finally, notice that the drill-across process can be applied to a single star to produce useful comparisons. For example, a this year versus last report might show orders by region for the current period and the same period last year, with a ratio showing the percent increase. This report can be constructed by querying orders by region for this year, and again for last year. The two sets of results can then be joined on region values for a current year versus last comparison.

The "Recovery Window"