A data lake serves as a centralized repository for storing large amounts of raw data in its native format, which is essential for big data analytics. Unlike traditional databases, data lakes can handle both structured and unstructured data, allowing analysts to perform complex queries and analysis. This flexibility enables businesses to derive insights from various sources, improving decision-making processes. Data lakes also support advanced technologies like machine learning and real-time analytics, maximizing the value extracted from data.