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FIGURE 2-14 DataStore object displayed in the Query Designer
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already been identified as consistent and cleansed. This type of DataStore object only consists of one table of active data. Data is loaded using the data transfer process. Data that is loaded into Write-Optimized DataStore objects is available immediately for further processing. You use a Write-Optimized DataStore object as a temporary storage area for large sets of data if you are executing complex transformations for this data before it is written to the Standard DataStore object. Subsequently, the data can be updated to further (smaller) InfoProviders. You only have to create the complex transformations once for all data for example, when storing sets of mapped InfoObjects used as a table to enhance the records as they are uploaded into standard DataStore objects. You use Write-Optimized DataStore objects as the EDW layer for saving data. Business rules are only applied when the data is updated to additional InfoProviders. The system does not generate SIDs for Write-Optimized DataStore objects, and you do not need to activate them. This means that you can save and further process data quickly. Reporting is possible on the basis of these DataStore objects. However, I recommend that you use them as a consolidation layer, and update the data to additional InfoProviders, Standard DataStore objects, or InfoCubes. For performance reasons, SID values are not created for the characteristics that are loaded. The data is still available for BEx queries. However, in comparison to Standard DataStore objects, you can expect slightly worse performance because the SID values have to be created during reporting. If you want to use Write-Optimized DataStore objects in BEx queries, I recommend that they have a semantic key and that you run a check to ensure that the data is unique. In this case, the Write-Optimized DataStore object behaves like a
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Standard DataStore object. If the DataStore object does not have these properties, unexpected results may be produced when the data is aggregated in the query.
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You can indicate an InfoObject of type Characteristic as an InfoProvider if it has attributes and/or texts. The data is then loaded into the master data tables using the transformation rules. You can only designate a characteristic as an InfoProvider if it contains texts or attributes. It is not possible to use transformation rules to load hierarchies. You also need to have the field for the connection to the InfoArea so that the InfoObject can be identified as an InfoProvider and therefore execute a query against this object. Figure 2-15 shows the field in the InfoObject Master Data/Texts tab that the InfoArea is assigned to allow the InfoObject to be classified as an InfoProvider. The characteristic is subsequently displayed in the InfoProvider tree in the Data Warehousing Workbench. During InfoObject maintenance, you can select two-level navigation attributes (the navigation attributes for the characteristic and the navigation attributes for the InfoCube) for this characteristic in the Attribute tab page. These are then available like normal characteristics in the query definition. If you want to turn a characteristic into an InfoProvider, you have to assign an InfoArea to the characteristic. Figure 2-16 shows the view of the InfoObject InfoProvider from the Query Designer. During the process of identifying this as an InfoProvider, you include a key figure (number of records) that is automatically added to the structure so that you can query off this object as well as another formatting process that is generated from the two dimensions for the InfoObject a Key Field node and an Attribute node. In the process of querying against the InfoObject, you need to remember that Time objects are unavailable using the InfoObject InfoProvider. You will have to create an InfoSet to take advantage of this type of reporting
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