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On one end, putting a few megabytes of data in the application s memory speeds up access; on the other hand, doing this occupies valuable memory for the entire duration of the application For this reason, it is extremely important that you consider using the Cache object (which is discussed further in the next chapter) whenever you have a need for globally shared data Unlike data stored with Application and global members, data stored in the ASPNET Cache is subject to an automatic scavenging mechanism that ensures the data is removed when a too-high percentage of virtual memory is being consumed In addition, the Cache object has a lot of other beneficial features that we ll explore in the next chapter The bottom line is that the Cache object was introduced specifically to mitigate the problem of memory occupation and to replace the Application object.

To put it down even clearer, today writing to the Application object is bad practice and is supported only to help with migration from classic ASP, where it was the common and easiest way of storing global data In ASPNET, Cache is the recommended solution for a single worker process and distributed caches (for example, Microsoft AppFabric Caching Services) if you re in a Web farm context..

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A fact table may have columns that contain descriptive attributes . If the attributes have low cardinality meaning that the values in the column are repeated and the number of distinct values is low compared to the number of fact records you should create a dimension table and replace the attribute columns in the fact table with a column containing a dimension key . If the attributes have a high or even one-to-one cardinality meaning a unique value for each fact table record it is best to not create a dimension table . In this case, the attributes as a group are referred to as a degenerate dimension . You can create an Analysis Services dimension from the degenerate dimension attribute columns in a fact table . Analysis Services treats a degenerate dimension the same way it treats a dimension created using data from a dimension table . The degenerate dimension must be processed before any measure groups related to the dimension are processed . So when you have a degenerate dimension, Analysis Services processes all of the fact table records at least twice: once when the degenerate dimension is processed and once when the measure group is processed . When you create a degenerate dimension, you need to take some precautions . You need to be careful because a degenerate dimension may contain a very large number of members . Very large dimensions use a lot of storage space and take a long time to process . Queries that request all of the dimension members use a lot of server resources and are slow to

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