Data warehousing in an undergraduate curriculum
Journal of Computing Sciences in Colleges
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Reference model and perspective schemata inference for enterprise data integration
INAP'09 Proceedings of the 18th international conference on Applications of declarative programming and knowledge management
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Analysis patterns in dimensional data modeling
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
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From the Publisher:At last, a balanced approach to data warehousing that leverages the techniques pioneered by Ralph Kimball and Bill InmonSince its groundbreaking inception, the approach to understanding data warehousing has been split into two mindsets: Ralph Kimball, who pioneered the use of dimensional modeling techniques for building the data warehouse, and Bill Inmon, who introduced the Corporate Information Factory and leads those who believe in using relational modeling techniques for the data warehouse. Mastering Data Warehouse Design successfully merges Inmons data ware- house design philosophies with Kimballs data mart design philosophies to provide you with a compelling and complete overview of exactly what is involved in designing and building a sustainable and extensible data warehouse. Most data warehouse managers, designers, and developers are familiar with the open letter written by Ralph Kimball in 2001 to the data warehouse community in which he challenged those in the Inmon camp to answer some tough questions about the effectiveness of the relational approach. Cowritten by one of the best-known experts of the Inmon approach, Claudia Imhoff, this team of authors addresses head-on the challenging questions raised by Kimball in his letter and offers a how-to guide on the appropriate use of both relational and dimensional modeling in a comprehensive business intelligence environment. In addition, youll learn the authors take on issues such as: Which approach has been found most successful in data warehouse environments at companies spanning virtually all major industrial sectors The pros and cons of relational vs. dimensional modeling techniques so developers can decide on the best approach for their projects Why the architecture should include a data warehouse built on relational data modeling concepts The construction and utilization of keys, the historical nature of the data warehouse, hierarchies, and transactional data Technical issues needed to ensure that the data warehouse design meets appropriate performance expectations Relational modeling techniques for ensuring optimum data warehouse performance and handling changes to data over time * A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing * Written by one of the best-known exponents of the Bill Inmon approach to data warehousing * Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems * Weighs the pros and cons of relational vs. dimensional modeling techniques * Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality Author Biography: CLAUDIA IMHOFF (CImhoff@Intelsols.com) is President and Founder of Intelligent Solutions, a leading consultancy on analytic CRM and BI technologies and strategies. She is a popular speaker, an internationally recognized expert, and coauthor of five books. NICHOLAS GALEMMO (ngalemmo@yahoo.com) was Information Architect at Nestlé USA. He has twenty-seven years experience as a practitioner and consultant involved in all aspects of application systems design and development. He is currently an independent consultant. JONATHAN G. GEIGER (JGeiger@IntelSols.com) is Executive Vice President at Intelligent Solutions, Inc. In his thirty years as a practitioner and consultant, he has managed or performed work in virtually every aspect of information management.