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To create an error handler, you add an on error statement within a try block Normally, you want to put the on error statement and the commands it executes directly before the end try statement for the try block, without any other commands that aren t related to the error handler after them Here s the basic layout for an error handler:

Another security challenge lies in the fundamental difference between a BI system and the transactional systems that feed the warehouse of the BI system Security in transactional systems is often determined by the business process that the transactional system was designed to address

570 Basic digital principles 12 Data sent along a single line, one bit after another, is called: A Serial B Synchronous C Parallel D Asynchronous 13 If X 1 and Y 1, then X 1 1 YZ is: A Always 0 B 0 if Z C 1 if Z 0, and 1 if Z 0, and 0 if Z

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The form of the on error statement shown in the previous section is stripped down to its essentials only the keywords on error What you ll usually want to do is return the number of the error that has occurred and the message that explains what the error is To return the error number, add the number parameter and the name of the variable in which you want to store the error The following example uses the variable name myErrorNumber:

For example, if you have a grade entry system, it s fairly easy to define security requirements Here s a simple list of requirements to start with: Only teachers can enter grades Teachers can enter grades for their students only Grades can be entered only at certain times

D Always 1 14 If X 0 and Y A Always 0 1, then X(Y + Z) is: 1 1

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To return the error message as well, you add not another parameter called something like message (as you might expect), but just another variable to contain the message and you put it before the number parameter rather than after it The following example uses the variable name myErrorMessage:

Obviously, some special cases would need to be addressed, but by and large the requirements are fairly straightforward When you consider grades in the context of a data warehouse, things get much more complicated Many different types of users are now going after the same information, and different users will have different security requirements Students want to see details of their grades and possibly class averages Teachers may look across years Principals may compare different teachers of the same subject Research analysts may be investigating whether the lottery-sponsored scholarship program has impacted grade inflation across the state Also, grade entry is always done at the detail level (this student got this particular grade on this particular exam on this date); however, grade analysis can be done at multiple levels What started as a simple security problem of entering grades has become exponentially more complex when we start looking at the data for reporting purposes As you can tell from these examples, one of the keys to implementing robust security successfully within in a BI system is flexibility For a transactional system, the security requirements are often easily defined and fairly static; you know exactly who can do what to the data and that normally doesn t change In a BI system, this just isn t true Lots of different groups will all be trying to access the same information, and each group will need to have its own security policy in place In addition, you ll typically see things change significantly over time Special projects, new requirements, and changing environments will necessitate changes in the user population and what type of access they need One last difference between transactional system and BI systems is that transactional systems require read-write permissions and BI systems are generally read-only At first, this seems like a simple case of selecting the proper user profile, as we discussed in 1 In reality, putting a read-only policy in place for users of a BI system is only the first step The question is more about what data users can see than it is about read-write versus read-only access Ensuring that users see only data they are supposed to see is the focus of this chapter and the next.

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