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The star in Figure 11-5 tracks the status history of a mortgage application The fact table receives one row for each status change to an application The contents of the status dimension reveal the major processing steps When someone submits a mortgage application, it is assigned a status of Submitted A row is inserted into the fact table, referring to the application, the date of the status assignment, and the name of the status Each time the status changes, an additional row will be added In this example, submitted applications are subjected to a review by a mortgage officer, who assesses the application and discusses it with the customer Once the review is complete, the officer assigns the status Reviewed An additional row is added to the fact table for the application, capturing this status change.

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found in many programming languages. When the DBMS encounters a CASE expression, it evaluates the first search condition, and if it is TRUE, then the value of the CASE expression is the value of the first result expression. If the result of the first search condition is not TRUE, the DBMS proceeds to the second search condition, and checks whether it is TRUE. If so, the value of the CASE expression is the value of the second result expression, and so on.

8:

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Applications that have been reviewed are assigned to an administrator who gathers information that will be necessary to underwrite the mortgage information such as the applicant s most recent tax returns, pay stubs, and so forth Once this is complete, the application is assigned the status Processed and is forwarded to an underwriter to assess the risk After the work of the underwriter is completed, it is assigned the status of Underwritten and the applicant may now schedule a settlement date for the home purchase On this date, the status becomes Settled and the process is over The mortgage amount may be changed at each step of the way until it is finalized at settlement This fact table is useful in studying how many applications achieve particular milestones over time or for studying workload at any particular stage.

4. Finally, restore this log file to the standby server:

For example, a business question asked might be, How many applications were submitted, reviewed, processed, underwritten,.

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Here is a simple example of the use of the CASE expression Suppose you want to do an "A/B/C analysis" of the customers from the sample database according to their credit limits The "A" customers are the ones with credit limits over $60,000, the "B" customers are those with limits over $30,000 and the "C" customers are the others Using SQL1, you would have to retrieve customer names and credit limits from the database and then rely on an application program to look at the credit limit values and assign an "A," "B," or "C" rating.

RESTORE LOG Customers FROM BackupDevice2 WITH STANDBY = 'C:\MSSQL7\Backup\undo.ldf'

EMPLOYEE MORTGAGE_ STATUS_FACTS day_key application_key employee_key status_key mortgage_dollars STATUS

Using a SQL2 CASE expression, you can have the DBMS do the work for you: SELECT COMPANY, CASE WHEN CREDIT_LIMIT > 60000 THEN 'A' WHEN CREDIT_LIMIT > 30000 THEN 'B' ELSE 'C' FROM CUSTOMERS For each row of query results, the DBMS evaluates the CASE expression by first comparing the credit limit to $60,000, and if the comparison is TRUE, returns an "A" in the second column of query results If that comparison fails, the comparison to $30,000 is made and returns a "B" if true Otherwise, the third column of query results will return a "C" This is a very simple example of a CASE expression The results of the CASE expression are all literals here, but in general they can be any SQL expression Similarly, there is no requirement that the tests in each WHEN clause are similar, as they are here.

Backing up and restoring the log file is a process that should be performed at regular intervals. How often this process is performed will be based on your business requirements. On busy servers, you might want to perform the operations every few minutes. On less active servers, it might be acceptable to perform the log-shipping every few hours. In the event of a database failure, you should try to back up the active transaction log from the production server by using the WITH NO_TRUNCATE option, as in this example:

STATUS status_ key 1000 1001 1002 1003 1004 status_ code S1 A2 P2 U2 EX status Submitted Reviewed Processed Underwritten Settled status_description Submitted. Under review by mortgage officer. Reviewed. Documentation being gathered by processor. Processed. Under examination by underwriter. Underwritten. Awaiting settlement. Settled.

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I just answered a similar question in depth here, with an example of my implementation (I didn't want to use a keyboard hook because I didn't ...
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