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The first task is to set up a standby server. To do this, you ll need to create a second installation of SQL Server 7 on a separate server. In the following steps, I ll refer to one installation as the production server and the other as the standby server. To set up the standby server with an initial copy of the necessary databases on the production server, first back up the databases on the production server. Then, restore these databases to the standby server, but use the STANDBY clause to specify that the database should be placed in standby mode. This will create a baseline copy of the database on the standby server and create an undo log file. The undo log file contains a copy of the data pages that were modified by any uncommitted transactions in the transaction log. After you make a copy of the production database(s) on the standby server, you re ready to start synchronizing information by using transaction logs. This technique is known as log-shipping and involves the creation of a database transaction log dump, which includes a list of all the transactions that have been committed on the production server. The dump file must be made accessible to the standby server (either by using an automated copying process or by creating network shares). The database information is

Suppose a particular account, perhaps your own, has undergone a type 2 change as a result of a change of address This means your account will be represented by two rows in the account dimension: one with your old address and the other with your new address When the month-end snapshot is recorded, the fact table should contain only one row for your account, using whichever version was current at the time Were the snapshot to record more than one row for your account, your balance would probably be double-counted in many queries While you might like what this does to your net worth, it is of course inaccurate The inventory example, which involves two dimensions in addition to the snapshot period in its grain statement, will record one row for each product/store combination.

In some ways, replication can be used to keep data consistent between servers. For example, transactional replication will ensure that all the information on remote servers stays consistent with that on the current server. However, this solution requires a lot of server resources, and can significantly decrease performance on busy production machines. A reasonable level of data consistency might be expected from frequent backup and restoration operations, but, again, the disk I/O and CPU resources might make this prohibitive. A standby server works by constantly backing up transaction log information and then automatically restoring that data to a second server. In addition to conserving resources, this process automates the synchronization, thus ensuring that information on the standby machine is synchronized with data on the primary server. We already mentioned that when a production server fails and a standby server is brought online, clients must manually reconnect to the new production server. When planning for and implementing standby servers, be sure that application developers, managers, and end users are aware of the processes. The afternoon following a critical server failure is not a convenient time to educate users on creating and managing ODBC connections! Now that we have a good understanding of the goals and functions of standby servers, let s move on to look at how this can be implemented.

Similarly, if you want to combine data from two different tables with a UNION operation, their columns must have identical data types You can achieve this by CASTing the columns of one of the tables..

Products and stores may undergo type 2 changes, but each snapshot row will only refer to what was current at the end of the snapshot period TIP A periodic snapshot records only one row for each combination of natural keys in the dimensions that define its grain Understanding this requirement is essential for all members of the warehouse team Although the impact on the ETL process is most obvious, it is important that all team members be made aware of this requirement and that documentation of the star reflects this state of affairs If an account had multiple versions that were current during different parts of the period, report developers should not assume that all are present in the snapshot Such an assumption could lead to serious consequences..