The term 'data lake' refers to a centralized repository that allows for the storage of large volumes of structured, semi-structured, and unstructured data. Unlike traditional data warehouses, a data lake can accommodate data in its raw format, making it easier to perform big data analytics and leverage advanced tools such as machine learning for insights. This enables organizations to maintain flexibility, allowing data scientists and analysts to experiment and derive value from the data as needed.