Data engineering, the practical application of data collection and analysis, involves gathering, storing, processing, and transforming data into a format that humans (analysts) and machines (algorithms) can use to make decisions and drive action. Examples of data engineering applications include e-commerce product recommendations based on user activity, health insights from wearable devices, and smart city
Integrating Data Engineering and Generative AI: A World of Digital Intersection
