Data Modeling for Analytics Engineers: The Complete Primer

Data modeling is a foundational process for analytics that progresses through three distinct stages. The process begins with a high-level conceptual model, which is a non-technical blueprint for aligning with business stakeholders on core concepts and relationships. Following this, a logical model is developed to define the specific structure, attributes, keys, and relationships between data entities, while remaining technology-agnostic. The final step is creating the physical model, which translates the logical design into a concrete implementation within a specific database system, considering details like data types, indexes, and performance optimizations.