By Edward Melomed; et al
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Additional info for Microsoft SQL server 2005 analysis services
1, data is stored on the server and the client application uses queries to access that data. This two-tier architecture is characterized by simplicity and effectiveness because there is a direct connection between the server and the client, with nothing in between. 1 In this two-tier architecture, data is stored on the server. Let’s look at each separate component in more detail. The server software receives a request from the client. It processes the request and formulates an answer based on the data located on a hard disk or cached in RAM.
If you accurately specify a value for this property in the development stage, the system can optimize the use of the attribute and things will go more smoothly in later stages. Once you’ve specified these properties for an attribute, you’re ready to populate it. Sometimes populating an attribute with members is a pretty simple task. For example, the Gender attribute generally requires one of only two values: male or female. On the other hand, populating an attribute such as Customer can turn out to be a more complex task, because the number of members in the attribute can be very large: tens and even hundreds of millions.
Distributed Systems These four architecture systems aren’t the only ways to build multidimensional database systems. There are a variety of systems for distributed storage of data inside a multidimensional database. Distributed Storage The following list describes the distributed storage systems that have been developed for Analysis Services as of now: • Remote partitions: Sections of data are stored on other servers, called remote servers, that are connected to the main computer, the master. Remote partitions make it possible to work with almost unlimited quantities of data.
Microsoft SQL server 2005 analysis services by Edward Melomed; et al