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querying an OLAP database to narrow the focus of analysis. A user slices and dices by placing data in a cross tab report with categories on both rows and columns to see the intersecting values. A user pivots by switching categories between rows and columns or by moving categories from the cross tab into a filter or out of the report altogether. A data mining engine, on the other hand, is more often used behind-the-scenes by technical specialists and subject matter experts to uncover hidden patterns in corporate data. These patterns can be used to develop profiles of people or events which can then be used to support decisions, such as which prospects to target in a marketing campaign or which products to promote together. Data mining can also be used for prediction, such as determining which customers are likely to stop using your products or services.

When you re working with arrays, regular For Next loops are usually faster and pref erable to For Each Next loops, whereas when you are working with collections, the latter type of loop is usually faster. When coupled with the ability to create an array on the fly, the For Each loop allows you to execute a block of statements with different values for a controlling variable, which don t need to be in sequence:

1 Start the WINS console. Right-click the server entry, and then select Back Up Database. 2 In the Browse For Folder dialog box, select the folder where the WINS server should store the database backup files, and then click OK. 3 The WINS server will then write the backup files to a subfolder of the designated folder called Wins_bak. When it finishes, click OK.

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Click the Save All icon in the toolbar to save your project. Make sure the project name is CarTracker

You can check whether a specific user is in a role with the IsUserInRole method:

16:

In the next few sections, you will see how to tune replication for each replication type. As you will see, snapshot, transactional, and merge replications are tuned differently.

because SQL Server keeps track of its current position in the log by means of the LSN Every time a page is changed, the LSN corresponding to the log entry for that change is written into the header of the data page Dirty pages can be written to the disk only when the LSN on the page is less than or equal to the LSN for the last record written to the log The Buffer Manager also guarantees that log pages are written in a speci c order, making it clear which log blocks must be processed after a system failure, regardless of when the failure occurred The log records for a transaction are written to disk before the commit acknowledgement is sent to the client process, but the actual changed data might not have been physically written out to the data pages.

layouts, and then click the first thumbnail in the first row (Basic Cycle). The diagram changes to the new layout.

Part III:

3. Click the Tuning Options tab. The Tuning Options tab, as shown in Figure 30-53, allows you to further refine the potential recommendations that the Database Engine Tuning Advisor makes. As indicated before, try not to limit the tuning time, as you might not get optimal recommendations. You can reduce the amount of time the Database Engine Tuning Advisor by reducing tuning options that you do not want it to consider. Select the appropriate combination of options. If in doubt as to what options to choose, leave the defaults alone.

1. The sender creates an e-mail message. 2. The sender s e-mail client runs a hash algorithm against the plaintext message to create a message digest. 3. The digest is encrypted using the sender s e-mail signing private key. 4. The plaintext e-mail message and the encrypted digest are sent to the recipient.

Although the writes to the log are asynchronous, at commit time the thread must wait for the writes to complete to the point of writing the commit record in the log for the transaction (SQL Server must wait for the commit record to be written so that it knows the relevant log records are safely on the disk) Writes to data pages are completely asynchronous That is, writes to data pages need only be posted to the operating system, and SQL Server can check later to see that they were completed They don t have to be completed immediately because the log contains all the information needed to redo the work, even in the event of a power failure or system crash before the write completes The system would be much slower if it had to wait for every I/O request to complete before proceeding.

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