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Simply put, Data Targets are those InfoProviders that hold data in tables for the purposes of reporting/querying. Non Data Targets are InfoProviders that are views they don t hold data but are used as a conduit for the purposes of reporting/querying. This is a very basic definition of each of these items, and we will expand on these definitions as we work our way through the chapter. You will see that quite a bit of analysis and data modeling takes place before you can decide which InfoProvider is right for your purposes.
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Introduction to SAP BI InfoProviders
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When you re deciding which InfoProvider to use, it is important to understand several concepts within BI, as well as which one of the concepts your corporation is using in the process of implementing or maintaining BI. For example, if the agreed-upon architecture is an Enterprise Data Warehouse (EDW), you will have a series of layers in which your data will be stored. Depending on the types of reports you are required to generate, you will look
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to different layers for the data in the specific format and granularity required by your business users. This initial architecture is identified and formatted during the initial stages of the implementation and is something that will need to be ironed out so that all the other concepts of BI will work in that environment. Figure 2-1 shows an example of a standard view of a BW(Business Warehouse) architecture and the positioning of the InfoProviders in that architecture. Notice that an InfoProvider is used as the final location for all the transactional data. Before starting the process of creating queries, you should review your corporate architecture to identify the types of data, where they are stored (that is, what tables are used), and what attributes (such as time dependency of the data, level of granularity, and so on) are being stored in the specific tables. After this chapter, we will address the tables in BI by the appropriate naming convention. Up until now, I ve tried to control the number of additional terms used to describe BI-specific objects so that we can work into these concepts in a consistent manner. InfoProviders, as mentioned, are initially grouped as Data Targets and Non Data Targets. We then break them down into specific types within these groups. Figure 2-2 shows the breakdown of these objects based on the flow of data to the queries. Notice the symbols associated with the different objects. For instance, the symbol associated with an InfoCube looks like a cube. Whether you are in the configuration administration workbench of BI or the Query Designer, you will be seeing these symbols. Table 2-1 shows the further breakdown of each different type of InfoProvider and the detailed naming convention of each object. We will discuss each of these objects in this chapter. I approach this process from two different angles. Initially we will discuss each object based on the configuration view. Then we will move to the view of these objects from the front end or query point of view. Therefore, during our discussion you will be presented with two illustrations, each covering
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SAP NetWeaver Business Intelligence InfoProvider / Data Mart Transformation Downstream Systems Open Hub Destination Transformation
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Data Source / PSA
InfoPackage Non-SAP
InfoPackage SAP
SAP NetWeaver PI
SAP NetWeaver BI Any Source
Copyright by SAP AG
FIGURE 2-1 Overview of InfoProviders positions in the data process ow
2:
Storing the Data SAP/Business Warehouse InfoProviders
InfoCube Contain Data
Business Explorer
InfoProvider Interface
InfoObjects
DataStore Object
MultiProvider
Analytic Engine
Contain No Data
VirtualProvider Aggregation Level
InfoSet
Copyright by SAP AG
FIGURE 2-2
Overview of InfoProviders and queries
a different view of an object. The discussion around the configuration view is limited due to the nature of this book. Therefore, areas of interest in the configuration such as the details behind the structures of the tables, the relational database architecture of these objects, and other important topics for configuration will not be discussed at length. It would be easy to turn this discussion into a technical commentary, but that is for another time. We first need to discuss the object that is the foundation of much of the architecture in BI the Characteristic InfoObject. The InfoObject is the smallest unit in BI. From the viewpoint of configuration, the InfoObject is a series of tables that holds master data, texts, and hierarchies. If you think of the process of creating something such as a customer list, the
Data Targets InfoCubes Standard and Real Time InfoObjects Characteristic DataStores Standard, Direct Update, and Write-Optimized Non Data Targets MultiProviders InfoSets Virtual InfoCubes Data Transfer Process, BAPI, and function module Aggregate Levels Integrated Planning Objects (specific to BW-IP) InfoSet Queries TABLE 2-1 Types of Data Targets and Non Data Targets
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