The purpose of a data lake in big data analytics is to store vast amounts of structured and unstructured data in its native format. This centralized repository enables organizations to collect and analyze diverse data sources without the need for predefined schemas. Data lakes support advanced analytics, machine learning, and data exploration, providing insights from vast datasets. They allow data scientists and analysts to uncover patterns and trends that drive better decision-making.