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SAP BW Data Modeling
 
 
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SAP BW Data Modeling [Hardcover]

Norbert Egger (Author), Jean-Marie Fiechter (Author), Jens Rohlf (Author)
2.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

September 1, 2005
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


Product Details

  • Hardcover: 425 pages
  • Publisher: SAP Press (September 1, 2005)
  • Language: English
  • ISBN-10: 1592290434
  • ISBN-13: 978-1592290437
  • Product Dimensions: 9.5 x 6.8 x 1.1 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,778,103 in Books (See Top 100 in Books)

More About the Author

After studying Computer Science at ETH Zurich, Dr. Jean-Marie R. Fiechter has been working in the IT Industry for more than 25 Years.
For the last 20 Years he has held Positions in Product Development (working at the Teradata Development Lab in San Diego), Consulting, Marketing and Product Management in the Domains of Massively Parallel Processing and Data Warehousing at NCR, Teradata, IBM, SAS and CubeServ.
Since 2007 Dr. Fiechter is Head of BI Governance at Swisscom Ltd.
Dr. Fiechter is a Certified SAP NetWeaver Business Intelligence Consultant, as well as a Data Warehousing Teacher at several Universities in Switzerland and abroad, as well as a visiting Teacher for SAP (accross Europe).
Dr. Fiechter is also the Author of several Books on Data Warehousing.

 

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3 of 5 people found the following review helpful:
2.0 out of 5 stars It's hard to know who this book is aimed at., June 7, 2006
This review is from: SAP BW Data Modeling (Hardcover)
It's hard to know who this book is aimed at. Some of the theory on modelling is interesting but academic. The coverage of the SAP BW is fair but not in depth enough for certification study purposes. The "lead you by the hand screen shots" would be useful for someone trying to make their way alone through BW but ultimately you can't make your way alone through BW. The use of English is poor in many places. I read it because it's a book and therefore more portable than BW course material but that's it's most redeeming feature for me. I suppose it's an very average introduction to BW modelling but beyond that I'm not sure of it's audience.
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Inside This Book (learn more)
First Sentence:
Computers have promised us the source of wisdom, but have delivered only a flood of data.2 Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
developed star schema, navigation attributes, data mart interface, enter the technical name, sales order stock, sales document item, classic star schema, master data table, fiscal year variant, activation queue, formatted reporting, sales order items, business content, data warehouse architecture, consistent metadata, data storage layer, posting period, multidimensional data model, query designer, business intelligence applications, dialog screen, document allocations, mobile intelligence, chain maintenance, external hierarchies
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Administrator Workbench, Business Explorer, Business Information Warehouse, Data Type Length, Delivered Earlier, Goods Issue Status, Web Application Designer, Delivered Value Earlier, Cube Type, Delivered Later, Engines Business Intelligence Applications, Change Characteristic, Cost Object, Data Slice, Product Hierarchy Dimension, Unassigned Nodes, Cash Discount, Data Warehousing Concepts, Delivered Value Later, Select Objects, Technical Content, Create Characteristic, Customer Account Group, Customer Discount, Define Dimensions
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