The term "data lake" refers to a centralized storage repository that holds vast amounts of raw data in various formats until needed for analysis. Unlike traditional databases, which require data to be structured before storing, data lakes accommodate unstructured, semi-structured, and structured data. This flexibility allows organizations to ingest data from multiple sources, enabling advanced analytics and insights without needing predefined schemas, thereby supporting big data initiatives.