Data Lakes are centralized repositories that allow organizations to store vast amounts of structured and unstructured data at scale. Unlike traditional databases, they can handle data in its raw form, making it easier for data scientists and analysts to access and analyze information without the need for extensive preprocessing. This flexibility enables businesses to derive insights from diverse data sources, such as social media, IoT devices, and transactional systems. By leveraging Data Lakes, organizations can enhance their decision-making processes and drive innovation through advanced analytics and machine learning techniques.