| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 474.8KB PDF | Date added | 14 May 2007 |
| Topics | Knowledge and Data Management, Programming Languages, Business Intelligence - Data Warehousing | ||
| Downloads | 44 | ||
SAS Data Integration (DI) Studio is gaining popularity as a Data Warehousing tool. As a gateway to the SAS Metadata Server, it enables users to design and run metadata driven processes. This paper explores two techniques developed based on the power and flexibility of DI Studio and SAS/Macro. First, the paper presents a method for integrating external business metadata containing complex derivation logic. Second, it presents a scheme for building modular DI Studio job segments, which facilitates creation of reusable processes capable of handling diverse data. To demonstrate these techniques, the authors profile a DI Studio based application that converts clinical trial data to FDA required format.
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