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two-dimensional view on a multidimensional data cube For instance the analyst may select a cross-tab on item-name and size, or a cross-tab on color and size The operation of changing the dimensions used in a cross-tab is called pivoting An OLAP system provides other functionality as well For instance, the analyst may wish to see a cross-tab on item-name and color for a xed value of size, for example, large, instead of the sum across all sizes Such an operation is referred to as slicing, since it can be thought of as viewing a slice of the data cube The operation is sometimes called dicing, particularly when values for multiple dimensions are xed When a cross-tab is used to view a multidimensional cube, the values of dimension attributes that are not part of the cross-tab are shown above the cross-tab The value of such an attribute can be all, as shown in Figure 221, indicating that data in the crosstab are a summary over all values for the attribute Slicing/dicing simply consists of selecting speci c values for these attributes, which are then displayed on top of the cross-tab OLAP systems permit users to view data at any desired level of granularity The operation of moving from ner-granularity data to a coarser granularity (by means of aggregation) is called a rollup In our example, starting from the data cube on the sales table, we got our example cross-tab by rolling up on the attribute size The opposite operation that of moving from coarser-granularity data to ner-granularity data is called a drill down Clearly, ner-granularity data cannot be generated from coarse-granularity data; they must be generated either from the original data, or from even ner-granularity summary data Analysts may wish to view a dimension at different levels of detail For instance, an attribute of type datetime contains a date and a time of day Using time precise to a second (or less) may not be meaningful: An analyst who is interested in rough time.

In this example, the client (19216820025) is connecting to the server (1921681503) for two RPC programs (100003 and 100006) To remove the pinhole connections from the conn table, use the clear sunrpcserver active command Note that you cannot control which Sun RPC connections are removed: they are all removed from the conn table

The McGraw Hill Companies, 2001

No quota adjustments can be applied retroactively and none can be made at any other time than the beginning of the fiscal quarter

of day may look at only the hour value An analyst who is interested in sales by day of the week may map the date to a day-of-the-week and look only at that Another analyst may be interested in aggregates over a month, or a quarter, or for an entire year The different levels of detail for an attribute can be organized into a hierarchy Figure 224(a) shows a hierarchy on the datetime attribute As another example, Figure 224(b) shows a hierarchy on location, with the city being at the bottom of the hierarchy, state above it, country at the next level, and region being the top level In our earlier example, clothes can be grouped by category (for instance, menswear or womenswear); category would then lie above item-name in our hierarchy on clothes At the level of actual values, skirts and dresses would fall under the womenswear category and pants and shirts under the menswear category An analyst may be interested in viewing sales of clothes divided as menswear and womenswear, and not interested in individual values After viewing the aggregates at the level of womenswear and menswear, an analyst may drill down the hierarchy to look at individual values An analyst looking at the detailed level may drill up the hierarchy, and look at coarser-level aggregates Both levels can be displayed on the same cross-tab, as in Figure 225

Here s a simple example showing you how to set up a Sun RPC inspection policy:

The earliest OLAP systems used multidimensional arrays in memory to store data cubes, and are referred to as multidimensional OLAP (MOLAP) systems Later, OLAP facilities were integrated into relational systems, with data stored in a relational database Such systems are referred to as relational OLAP (ROLAP) systems Hybrid

ciscoasa(config)# sunrpc-server inside 1921681503 255255255255 service 100003 protocol tcp 111 timeout 30:00:00 ciscoasa(config)# sunrpc-server inside 1921681503 255255255255 service 100006 protocol tcp 111 timeout 30:00:00 ciscoasa(config)# class-map L3_sunrpc ciscoasa(config-cmap)# match port tcp eq 111 ciscoasa(config)# policy-map global-policy ciscoasa(config-pmap)# class L3_sunrpc ciscoasa(config-pmap-c)# inspect sunrpc ciscoasa(config)# service-policy global-policy global

The McGraw Hill Companies, 2001

In this example, inspection of Sun RPC services is enabled globally; however, I ve controlled the inspection process to only include the one port mapper server (1921681503) on the inside interface for the two RPC programs (100003 and 100006) Note that the class map for Sun RPCs isn t necessary in this example, since the appliance expects Sun RPC port mapper connections to be using TCP 111 however, if this is different, you would need to use a class map to indicate the port mapper connection parameters

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