This project analyzes Uber ride data using a dimensional modeling approach, organizing information into fact and dimension tables to improve clarity, performance, and analytical capabilities. The goal is to extract meaningful insights from trip records, such as distances, fares, and travel patterns, while enabling efficient exploration of data.