The Data Warehouse Toolkit

Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Wiley.

Type

Book

Intellectual base

Textbook

Year

2013

Link

https://uat.store.wiley.com/en-us/the-data-warehouse-toolkit-the-definitive-guide-to-dimensional-modeling-3rd-edition-p-9781118732281

Cited from

computer_science

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Denormalization
  • Database design. Materialized views, summary tables, denormalized read models, and embedded documents are the classic case

    This sourceCanonical treatment of dimensional modeling, denormalized star schemas, and summary/materialized tables that trade write-side synchronization for read-side speed.

Domain-specific

• Measure (Data Warehouse)
  • Measures answer questions such as how many, how much, how long, or at what rate after dimension members filter or group the relevant facts.

Mechanisms

• Aspect Lifecycle Register
  • Modeled well, it behaves like a Type 2 slowly-changing dimension: each change is a new dated version, and no history is silently lost.

    This sourceDescribes Type 2 slowly changing dimensions as adding a dated row for each change so prior history remains available.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://www.wiley.com/en-us/The+Data+Warehouse+Toolkit%3A+The+Definitive+Guide+to+Dimensional+Modeling%2C+3rd+Edition-p-9781118530801 ×1

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