"Data lakes" refer to centralized repositories that store vast amounts of unstructured and structured data in its native format. Unlike traditional databases, which store data in predefined schemas, data lakes allow organizations to ingest raw data from multiple sources, making it easier to perform advanced analytics and machine learning. This flexibility supports data science initiatives and enhances decision-making by providing access to comprehensive datasets.