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Book Overview & Buying
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Table Of Contents
The Data Warehouse Toolkit - Third Edition
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In this section, let’s directly confront several of the natural urges that tempt modelers coming from a more normalized background. We’ve been consciously breaking some traditional modeling rules because we’re focused on delivering value through ease of use and performance, not on transaction processing efficiencies.
The flattened, denormalized dimension tables with repeating textual values make data modelers from the operational world uncomfortable. Let’s revisit the case study product dimension table. The 300,000 products roll up into 50 distinct departments. Rather than redundantly storing the 20-byte department description in the product dimension table, modelers with a normalized upbringing want to store a 2-byte department code and then create a new department dimension for the department decodes. In fact, they would feel more comfortable if all the descriptors in the original...
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