The term "data lake" refers to a centralized repository in data management that stores vast amounts of raw data in its native format until needed. Unlike traditional databases, data lakes accommodate structured, semi-structured, and unstructured data, enabling organizations to store diverse data types without requiring upfront schema definitions. This approach allows data scientists and analysts to explore and analyze data more flexibly, facilitating advanced analytics and machine learning applications. Data lakes are increasingly popular in the era of big data, supporting organizations' need to derive insights from large volumes of information.