Items related to SAP BW Data Modeling
Synopsis
This book provides an essential foundation for successful data storage with SAP Business Information Warehouse (SAP BW). Youll benefit from step-by-step advice and instruction on all the most critical aspects of data modeling, beginning with the concept of data warehousing and the architecture of SAP BW.
Learn how to set up data modeling and manage master data and transactional data efficiently. A highly detailed sample scenario is used to clarify this complex procedure. The three fundamental topics - InfoObjects, InfoProviders, and SAP Business Content - are introduced consecutively and illustrated in detail with practical examples. The book describes all of their options, special characteristics, and key interdependencies. Finally, the robust appendices serve to provide you with additional help, and come complete with a comprehensive SAP BW glossary. All information provided is current for SAP BW 3.5, but remains highly valuable to users of previous releases.
Highlights:
- Overview of Components
- Data Warehousing Concepts: DWH Architecture, OLAP Designs, Multidimensional Data Records, Star Schema, and more
- Introduction to Data Modeling
- SAP BW InfoObjects: InfoAreas, InfoObjectCatalogs, SAP Business Content InfoObjects, Creating Your Own InfoObjects, and much more
- SAP BW InfoProviders: InfoCubes, ODS Objects, InfoObjects, MultiProviders, and much more
- SAP Business Content: Elements, Use, Problems, and Recommended Solutions
- Detailed Sample Scenarios
- Appendices: SAP BW Glossary, Transaction Codes, Metadata Tables, Sample Models, Data Models, and much more
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About the Author
Norbert Egger is the Managing Director of the CubeServ Group, which specializes in BI solutions. In 1996, he established the world’s first data warehouse based on SAP. Since then, he has implemented hundreds of projects with SAP BW and SAP SEM. He has many years of experience in the operation of SAP-based BI solutions.
"About this title" may belong to another edition of this title.
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SAP BW Data Modeling
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