Data Modeling Techniques for Data Warehousing
by Chuck Ballard, et al.
Publisher: IBM Redbooks 1998
ISBN/ASIN: 0738402451
ISBN-13: 9780738402451
Number of pages: 216
Description:
This redbook gives detail coverage to the topic of data modeling techniques for data warehousing, within the context of the overall data warehouse development process. The process of data warehouse modeling, including the steps required before and after the actual modeling step, is discussed. Detailed coverage of modeling techniques is presented in an evolutionary way through a gradual, but well-managed, expansion of the content of the actual data model. Coverage is also given to other important aspects of data warehousing that affect, or are affected by, the modeling process. These include architecting the warehouse and populating the data warehouse. Guidelines for selecting a data modeling tool that is appropriate for data warehousing are presented.
Download or read it online for free here:
Download link
(1.3MB, PDF)
Similar books
The Theory of Relational Databasesby David Maier - Computer Science Press
The book is intended for a second course in databases and a reference for researchers in the field. The material covered includes relational algebra, functional dependencies, multivalued and join dependencies, normal forms, representation theory...
(18700 views)
The Relational Model for Database Managementby E. F. Codd - Addison-Wesley
Written by the originator of the relational model, the book covers the practical aspects of the design of relational databases. The author defines twelve rules that database management systems need to follow in order to be described as relational.
(20977 views)
Internet Advertisingby S. Yuan, A.Z. Abidin, M. Sloan, J. Wang - arXiv
A comprehensive survey on Internet advertising, discussing the research issues, identifying the recent technologies, and suggesting its future directions. We start with a brief history, introduction, and classification of the industry.
(16053 views)
Mining of Massive Datasetsby Anand Rajaraman, Jeffrey D. Ullman - Stanford University
At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web.
(17547 views)