Understanding the differences in data modeling for traditional analytics and LLMs

Data modeling for traditional analytical applications focuses on creating models that can be used to understand and predict trends in data. This type of modeling typically involves creating tables and relationships between tables to represent the data in a way that is easy to understand and query. Data modeling for LLM-based applications, on the other hand, focuses on preparing data for applications that can be used to generate text, translate languages, answer questions, and create different kinds of content.

There are some key differences between data modeling for traditional analytical applications and data modeling for applications that utilize LLMs, as depicted in Table 10.1:

Considerations	Traditional Analytical Applications	LLM Applications
Data structure...