The term "data lake" refers to a centralized repository that stores vast amounts of raw data in its native format until needed for analysis. Unlike traditional data warehouses, data lakes can handle structured and unstructured data, making them suitable for advanced analytics and machine learning applications. Organizations utilize data lakes for their flexibility and scalability, enabling them to store and analyze diverse datasets efficiently and derive valuable insights from large volumes of information.