BW uses InfoPackages to define how to select data,and when to transfer and load the data. In BW,a characteristic can consist of three data components:
"BW Star Schema," discusses master data,texts,and hierarchies and explains their relationships to characteristics.
Each part requires an InfoPackage. This section describes how to create InfoPackages to load master data and text. The next section covers entering master data and text manually.
Step 1. Right-click Source System–demo: flat file,and then select Create InfoPackage….
Step 2. Select the DataSource Material number (Master data),enter a description for the InfoPackage,and then click to continue.
Step 3. Click the External data tab. Select options as shown in the screen. Enter a file name with a path. The file contains the data given in Table
The data file can reside on a front-end computer (or Client workstation as it is called here) or one of the application servers in the SAP Basis three-tier architecture. In our example,IO_MAT_ATTR.CSV resides in our front-end computer. For better loading performance,it is recommended that you place data files in application server computers.
Step 4. Click the Schedule tab,select the option Start data load immediately,and then click to load data.
The staging engine starts to load the data. A status message Data was requested will appear at the bottom of Screen 3.19.
Note:To schedule the loading operation for a later date or to execute loading periodically,select the option Start later in bckgrnd proc,and then click. A pop-up window appears,as shown in Screen 3.20. You can set up a background process to start the data loading job based on the criteria specified in Screen 3.20. The same window is used in R/3 for background job scheduling. In essence,BW Scheduler is embedded in InfoPackages.
MATERIAL NUMBER—MASTER DATA
By repeating this procedure and selecting DataSource Material number (Texts),we can load the texts in Table.
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Sap Bw Tutorial
Business Scenario And Sap Bw
Creating An Infocube
Loading Data Into The Infocube
Checking Data Quality
Creating Queries And Workbooks
Managing User Authorization
Aggregates And Multi-cubes
Operational Data Store (ods)
Generic R/3 Data Extraction
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