Parameter Driven Data Integration Using SAS Stored Processes
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1 UNIVERSITY OF CENTRAL FLORIDA INSTITUTIONAL RESEARCH Parameter Driven Data Integration Using SAS Stored Processes Evangeline Collado, Sr. Database Analyst/Programmer Copyright SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. indicates USA registration.
2 2 Agenda Who We Are Introduction Data Integration Development Stored Process Execution Conclusion Questions and Answers
3 3 Who We Are University of Central Florida (UCF) Metropolitan Research University Fifth Largest University in US Fall 2008 Enrollment Exceeded 50, Colleges Including New College of Medicine 12 Convenient Campus Locations Institutional Research (IR) Mission Purpose
4 4 Introduction Student Credit Hour (SCH) Profile Convert and Enhance Functionality SAS Enterprise Business Intelligence Server SCH_FACT Table Initial build New term data
5 5 Data Integration Development Identify Required Reporting Fields Classify Source Tables and Fields Create Data Model / Field Mapping Diagram Detail Expression Logic
6 6 Data Integration Development Right-click in blank area of Process Editor for Menu
7 7 Data Integration Development Generated Source Code:
8 8 Data Integration Development
9 9 Data Integration Development
10 10 Data Integration Development
11 11 Data Integration Development
12 12 Stored Process Execution SAS Add-In for Microsoft Office SAS Enterprise Guide SAS Information Delivery Portal SAS Information Map Studio Other SAS Applications
13 13 Stored Process Execution
14 14 Stored Process Execution
15 15 Stored Process Execution
16 16 Stored Process Execution
17 17 Stored Process Execution
18 18 Stored Process Execution
19 19 Conclusion Robust DI Process Parameters in SAS Data Integration Studio Prompts in SAS Enterprise Guide Data Integration Challenge Solved Reusable Method
20 20 Contact Information Office of Institutional Research Web: Address: P.O. Box , Orlando, FL Phone: (407) Fax: (407) Angel Collado:
21 21 Paper # UNIVERSITY OF CENTRAL FLORIDA INSTITUTIONAL RESEARCH
DATA VALIDATION AND CLEANSING
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