Section outline
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Introduction
In this section, learners will explore the fundamentals of data modeling, a critical skill for effectively managing data within HEMA's retail operations. Understanding data modeling enhances decision-making capabilities by providing structured insights into data relationships and facilitating efficient data handling. This foundational knowledge is essential for improving data quality and governance practices at HEMA.
Learning Objectives
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Define and explain the purpose of data modeling in retail.
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Identify and differentiate between types of data models: conceptual, logical, and physical.
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Understand basic concepts such as entities, attributes, and relationships.
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