What are the best practices for Data Modeling in Data Engineering?
The question is about Data Analysis .
The best practices for Data Modelling in Data Engineering include understanding business needs, creating models that support the business, reducing duplicate data, and ensuring data consistency through normalization. Data Engineers also denormalise models when improved speed is required. They should select appropriate data types, document models thoroughly, and review them regularly to ensure they remain useful in the long term.
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