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There is a second use of the fixed keyword that enables you to create fixed-sized, singledimensional arrays. In the C# documentation, these are referred to as fixed-size buffers. A fixedsize buffer is always a member of a struct. The purpose of a fixed-size buffer is to allow the creation of a struct in which the array elements that make up the buffer are contained within the struct. Normally, when you include an array member in a struct, only a reference to the array is actually held within the struct. By using a fixed-size buffer, you cause the entire array to be contained within the struct. This results in a structure that can be used in situations in which the size of a struct is important, such as in mixed-language programming, interfacing to data not created by a C# program, or whenever a nonmanaged struct containing an array is required. Fixed-size buffers can be used only within an unsafe context.
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1. If possible, use l H pital s Rule to evaluate each of the following limits. In each case, check carefully that the hypotheses of l H pital s Rule apply. cos x 1 x2 x3 e2x 1 2x (b) lim x 0 x2 + x4 cos x (c) lim x 0 x 2 [ln x]2 (d) lim x 1 (x 1) (x 2)3 (e) lim x 2 sin(x 2) (x 2) ex 1 (f ) lim x 1 x 1 2. If possible, use l H pital s Rule to evaluate each of the following limits. In each case, check carefully that the hypotheses of l H pital s Rule apply. (a)
develop the universes, with the business defining the requirements and having ultimate say over what goes in a universe and what does not. Where this centralization of the universe fails is when the universe does not meet the business requirements. When the universe doesn t fulfill the business requirements, it forces the users to build more report formulas, create increasingly complex reports with multiple data providers, or in the end, model their own solutions in spreadsheets and departmental databases. If the universe is monolithic and inflexible, then from a company point of view, let the business build their own universe, ideally following agreed-upon design principles, utilizing shared dimensions via linked universes (see 15). In either circumstance, it s important to have an ultimate designer or quality assurance process to ensure the universes are deployed consistently (see 16). The design principles and quality assurance process belong in the BI competency center, as this role continues beyond implementation. Report author/pilot user A report author is typically a power user who both understands the data and is computer literate. Report authors may be business analysts who require ad hoc access to information or who previously created and maintained departmental data sources. They also may be professional developers who previously coded reports. Be careful to manage this, though: the goal is not to code complex reports, but rather, to leverage the common business definitions and power built into the universe. Administrative assistants who are computer literate and who provide printed reports or compiled spreadsheets may also become report authors. When first deploying a new universe, pilot the universe with report authors. Only a minority of total users will be report authors. Information consumers Information consumers, also called report readers and report recipients, access fixed reports that may include prompts to filter the data. Report authors may prepare and distribute reports to readers via e-mail, InfoView, printouts, and so on. Information consumers may not have a high degree of computer or data literacy, or the job type may have minimal information requirements. With Web Intelligence interactive, these report readers can also dynamically sort, filter, and drill within a predefined report. While I wholeheartedly believe that all users should not evolve into report authors, I do wholeheartedly hope that the majority of information consumers will evolve to interactive report consumers. With the vendor s current licensing model, this evolution does have an implication on product licensing and server platform. BusinessObjects XI expert BusinessObjects XI experts know the end-user tool sets and the different modules available, but they do not necessarily understand the data. They are good with software and technology. Report authors may become BusinessObjects XI experts as they work more with the tool. Such experts should be part of an ongoing BI competency center. Data expert A data expert may be a business analyst, data modeler, or source system expert who knows where the data comes from, the quality of the data, and its different meanings and may be the champion for a metadata repository. The data expert may not necessarily use BusinessObjects but can help resolve data discrepancies that are discovered when users start analyzing it with BusinessObjects. A data modeler designs the underlying star or snowflake schema in a data warehouse
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