Mindaugas Mozūras

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The reason for the high normalization of the dimensions is the analytical system’s need to support flexible querying. That’s another difference between operational and analytical models. It’s possible to predict how an operational model will be queried to support the business requirements. The querying patterns of the analytical models are not predictable. The data analysts need flexible ways of looking at the data, and it’s hard to predict what queries will be executed in the future.
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
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