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In many scenarios, it s important to make sure that your database server is available, even under the worst-imaginable circumstances. In such situations, it might be practical to purchase and maintain a second installation of SQL Server 7 that is kept up-to-date with production database information. In the event of a failure of the primary database server, you can redirect users to access the new machine. This method has several advantages: w If a loss of information does occur, you can easily use a second, live copy stored on another machine. This second copy can include all user databases and the system databases. Regardless of the type of failure whether a failed hard disk or the entire server another replica of the information is available for use immediately.

account sampled at the end of each month. Several period-to-date facts could be stored, including year-, quarter-, and month-to-date deposits, fees, and withdrawals. Do not confuse the period component of the snapshot definition with the period being summarized by a period-to-date measurement. The period component of the snapshot grain describes the frequency at which the measurements are sampled. A monthly snapshot can sample quarter-to-date, year-to-date, or lifetime-to date measurements. It should be the case, however, that the remaining dimensions that define the snapshot grain also define the periodto-date measurements. In the case of an account snapshot, stored period-to-date measurements should also describe accounts. This ensures that the period-to-date measurement will remain additive across dimensions other than time. A period-to-date measurement at a higher level of summarization, such as branch, would not be additive since it would repeat for multiple accounts held at the same branch.

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Backup and recovery can address some of these issues. For example, if I have a completely redundant server and a failure occurs in the production server, I can immediately start restoring information from a recent backup. However, this operation will take time that can be quite costly. This is a good situation for the implementation of standby servers.

The monthly snapshot of account balance may raise a question Instead of recording the snapshot period with a month dimension, why not simply record the date on which the snapshot was taken In the case of the monthly snapshot, this date would be the last day of the month the date on which the balance is sampled This approach is valid and used by many schema designers It may simplify the configuration of some query and reporting tools, particularly those that are not well equipped to handle conformed dimensions such as month and day However, associating a date with a monthly snapshot also has some drawbacks Most importantly, there will be many days in this dimension table roughly 29 out of every 30 for which there is no snapshot data This can lead to tremendous confusion on the part of users or developers attempting to assemble queries.

The use of a period-end date also associates some characteristics of a day dimension, such as day of week and holiday flag, with a row of data that is meant to summarize a period This is somewhat nonsensical, but you may find it acceptable A more semantically consistent approach is to use a conformed version of the time dimension that represents the period being summarized In the case of the monthly account snapshot in Figure 11-4, this is the month dimension table TIP For period snapshots, consider using a time dimension that represents the period being summarized, rather than a day dimension that represents the period-end date ETL developers may find utility in an additional dimension table representing the last day of the period This extra piece of information can be useful in constructing snapshots for the current period.

Standby servers function by keeping data synchronized between multiple SQL Server installations. One SQL Server is used for production purposes. This is the server to which clients normally connect. Another machine the standby server contains a replica of all information stored on the production server. Whenever a change is made to a database residing on the production server, it is also made in the databases stored on the standby server. The main goal is to ensure that the databases stay synchronized. If the production server fails, clients can be automatically redirected to use the standby server. Although the process is manual, the impacts of downtime are minimized.