Creating a feature store is essential for data engineers looking to enhance machine learning models. This lab focuses on building a feature store using Trino, covering key concepts such as one-hot encoding and the creation of user features from web event data. Participants will learn to generate and manipulate features, including categorical and numerical data, to prepare datasets for predictive modeling, ultimately improving their data engineering skills and understanding of analytical patterns.