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TiP Cross-process ratios are powerful measurements. Because they do not correspond to a single column, or even a single table, they are often lost in the metadata collected by design tools and reporting software. These ratios should be documented at design time, highlighting the interaction between business processes that can be supported by the star schemas. In principle, there is no reason that each of the fact tables participating in a drill-across report must reside in the same database. The queries in Phase 1 can take place on different database instances, or even databases from different vendors. In Figure 4-13, each of the four stars resides in a different database, from a different vendor. The intermediate result sets are then combined to produce the final report. For all of this to work, it is important that the common dimensions be the same in each database, both in terms of structure and content. In terms of structure, their presence in each star allows the common dimensions to be retrieved by each phase 1 query. In terms of content, the identical representation of dimension values enables merging of the intermediate results during Phase 2. For example, in Figure 4-13, the period and region dimensions are present in all stars. This allows each Phase 1 query to aggregate information by period and region. The content of these dimensions is represented identically as well. In all databases, periods are specified as Q1 through Q4 and regions as North, South, and so forth. Because the content values are identical, they can be used to join the result sets together in Phase 2. If one or more of the databases had different region designations, or specified periods as First Quarter through Fourth Quarter, it would not be possible to complete the merge.

When planning for the future, you should take several factors into account: w Historical data Some say that the best way to predict the future is to learn from the past If you have historical information on data storage requirements, you'll be better able to make an educated guess It s likely that you ll have to make inferences, since the amount of data storage three years ago might be a fact that has been lost One way to find some clues is to look at purchase orders and upgrade logs that show how much storage was available on servers in the past Business plans A good indicator of the amount of data storage resources that will be required by a company is the future direction of the organization.

Revenue 9,150 16,470 7,320 24,400 10,980 17,080 9,150 22,936

SQL is a tool for organizing, managing, and retrieving data stored by a computer database. The name "SQL" is an abbreviation for Structured Query Language. For historical reasons, SQL is usually pronounced "sequel," but the alternate pronunciation "S.Q.L." is also used. As the name implies, SQL is a computer language that you use to interact with a database. In fact, SQL works with one specific type of database, called a relational database. Figure 1-1 shows how SQL works. The computer system in the figure has a database that stores important information. If the computer system is in a business, the database might store inventory, production, sales, or payroll data. On a personal computer, the database might store data about the checks you have written, lists of people and their phone numbers, or data extracted from a larger computer system. The computer program that controls the database is called a database management system, or DBMS.

Merge, Compute Yield Ratio (Sales Calls/Orders)

By working with executives and managers, IT staffers can get a good picture of where the company plans to grow and shrink For example, if marketing efforts will be increased, it s likely that more employees will be added to that department, and the databases used by that group will increase in size Similarly, if the organization expects a division to be dissolved, storage resources might be available for other purposes..