Mastering Data Warehouse Design

Mastering Data Warehouse Design

4.11 - 1251 ratings - Source

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 qualityRelational and Dimensional Techniques Claudia Imhoff, Nicholas Galemmo, Jonathan G. Geiger ... 199-200, 215 descriptions, 246 entity changes, 204 financial, 225 as flattened structures, 215, 246 history, 204 inverted tree diagram, 199 known depth, ... 64, 66, 80 ICE (Ice Cream Enterprises), 190-192 identifiers, 85-90, 336 identifying relationships, 34 identity relationships, 221 in-architecture criteria, anbsp;...

Title:Mastering Data Warehouse Design
Author:Claudia Imhoff, Nicholas Galemmo, Jonathan G. Geiger
Publisher:Wiley - 2003-08-08


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