The term "data lake" refers to a centralized repository in big data architecture that stores large volumes of raw and structured data in its native format until needed for analysis. Data lakes allow organizations to retain data from various sources and formats, facilitating a more flexible approach to data analysis. Unlike traditional data warehouses, which require data to be processed before storage, data lakes enable faster access to data for insights, supporting machine learning and advanced analytics.