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The guidelines in Figure 4-12 specify what needs to happen when drilling across. How these steps are carried out is another matter. A number of ways will meet the challenge, whether

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As I explained in 1, Evaluating Corporate Data Requirements, it's important to ensure that the data protection solution you choose is capable of restoring your data within an acceptable timeframe. The decisions you make regarding your recovery requirements will greatly affect the types of products you select. Let s look at an example of where this information is useful. Suppose you have a database server that is used heavily during the day, but there is a period of six hours in which backups can be performed. Based on this information alone, you might decide upon a solution that provides for backing up information during this period. If you later learn that managers expect at most one hour of downtime during critical business hours, you probably will not be able to meet these recovery requirements with the given hardware. Various methods for recovering data may be employed to meet these goals. For example, redundant hardware and disaster recovery options (described later in this chapter) can greatly reduce recovery times.

you are writing code by hand, or using a business intelligence tool that automatically generates queries. Three common implementations are depicted in Figure 4-14. The diagram depicts three different ways to drill across. Each begins with a pair of stars at the top of the page and ends with a report at the bottom of the page. The phases of the drill-across operations are indicated by the numerals 1 and 2; intermediate result sets are depicted as gray boxes. It may be helpful to think in terms of the orders and shipments example. Phase 1 involves separate queries for orders and shipments, each grouping results by product. Phase 2 merges these intermediate result sets and produces a ratio for the final report. The diagram also segregates activities based on where they take place: on the database versus within a reporting environment. The database may be a single RDBMS instance or a distributed implementation; the reporting environment may be a simple desktop client or a combination of application servers, web servers, and browsers.

Before we begin evaluating the hardware and software tools that we ll need for data protection, it s important that we distinguish between two different types of database backups. (We ll look at the technical details of each option in 6, Performing Database Backups. ) One of the main complications involved in backing up database files is that they are generally in use or live during backups. This makes simple file copy operations difficult to perform, since the database server must be stopped before the files are accessed. The live backup process is diagrammed in Figure 5-1. One way to circumvent the issues associated with a live backup is simply not to back up any data files that are open and in use. In an offline backup system, which is depicted in

List the salespeople who work in New York, Atlanta, or Denver. SELECT NAME, QUOTA, SALES FROM SALESREPS WHERE REP_OFFICE IN (11, 13, 22) NAME -------------Bill Adams Mary Jones Sam Clark Nancy Angelli QUOTA ----------$350,000.00 $300,000.00 $275,000.00 $300,000.00 SALES ----------$367,911.00 $392,725.00 $299,912.00 $186,042.00

The first implementation approach, on the left side of Figure 4-14, splits the processing between the RDBMS environment and the reporting environment. In the top half of the diagram, two queries are executed: one for each of the stars. Each of these queries retrieves the same dimensions, and aggregates the respective facts to that level.

5: