The function of a data lake in data management is to serve as a centralized repository that stores large volumes of structured and unstructured data in its raw format. This architecture allows organizations to collect, manage, and analyze diverse datasets without the constraints of traditional data warehouses. This flexibility enables users to perform various analytics tasks, including predictive analytics and machine learning, while facilitating real-time data processing. Data lakes are essential for big data initiatives, as they support the ingestion of massive datasets, enabling organizations to derive actionable insights and make data-driven decisions.