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FIGURE 2-18 MultiProvider data model assignment of characteristics to an InfoProvider
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Storing the Data SAP/Business Warehouse InfoProviders
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creation of a MultiProvider we identify the connection by checking the link between the characteristics of the different InfoProviders. In this case, the characteristic T_SOLD_TO (Sold To Party) is assigned to the InfoCube Billing and also to the InfoObject Sold To Party. Therefore, this will be a combination of the master data from the InfoObject Sold To Party and the transactional data from the Billing InfoCube. Both the characteristics and the key figures are assigned to specific combinations or single InfoProviders. The key figure assignments are as (or even more) important than the characteristic assignment, because if you assign a key figure to two different InfoProviders, you need to make sure that in the Query Designer process you identify the specific source of data. Otherwise, you will get double the amount because of the combination of information. MultiProviders only exist as a logical definition. The data continues to be stored in the InfoProviders on which the MultiProvider is based. A query based on a MultiProvider is divided internally into subqueries. There is a subquery for each InfoProvider included in the MultiProvider. These subqueries are usually processed in parallel. Technically there are no restrictions with regard to the number of InfoProviders that can be included in a MultiProvider. However, I recommend that you include no more than ten InfoProviders in a single MultiProvider, because splitting the MultiProvider queries and reconstructing the results for the individual InfoProviders takes a substantial amount of time and is generally counterproductive. Modeling MultiProviders with more than ten InfoProviders is also highly complex. In Figure 2-19, you can see the format of the MultiProvider in the Query Designer. Notice that in the list of characteristics (green triangles) a new characteristic is
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FIGURE 2-19 MultiProvider in the Query Designer view
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added that is specific to the MultiProvider (that is, the characteristic InfoProvider (0INFOPROV). This characteristic allows the power user creating a query from the MultiProvider to choose the specific InfoProvider to restrict the data being read. Therefore, if you have a MultiProvider that has a key figure being read from two different InfoProviders, you can limit this to only by combining the InfoProvider (0INFOPROV) characteristic with the key figure you are reading.
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NOTE This process is known as creating a restricted key figure, and we will discuss and create this
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object in 5.
InfoSets
InfoSets are a specific kind of InfoProvider that describe datasources that are defined as joins of DataStore objects, InfoCubes, and InfoObjects (not other MultiProviders). BI InfoSets are objects that serve to collect and join any of the targets into a logical view that can be used for accessing the data to be read by a query. Because the InfoSet is a join of data, you can control the view of the information from an InfoSet. By this I mean that you can set up the InfoSet so that the query can answer questions, such as questions about an event that has not happened. For example, if you use a master data bearing InfoObject during the creation of the InfoSet and identify this as the outer join, the master data will be a required value in the column and therefore show situations were there has been no activity. As a realworld example, I worked with a company that wanted to see what each of its different divisions sold during each month and not only what they did sell, but also other products that they didn t sell. Therefore, setting up an InfoSet and using the master data as the left outer join, I was able to generate a query that had all the divisions and the products listed in the rows and the periods in the columns. All products were displayed, even if there were no sales for that period.
NOTE A join condition determines the combination of individual object records that are included in
the results set. The InfoSet is a semantic layer over the datasources and reads the data similar to a database view. Unlike the classic InfoSet, this InfoSet is a BI-specific view of the data. InfoSets allow you to analyze the data in several InfoProviders by using combinations of master data bearing characteristics, InfoCubes, and DataStore objects. The system collects information from the tables of the relevant InfoProviders. When an InfoSet is made up of several characteristics, you can map transitive attributes and analyze this master data.
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