Data lakes allow for flexible and scalable data storage by enabling organizations to store vast amounts of raw data in its native format, including structured and unstructured data. This architecture allows for easy access and retrieval of data for various use cases such as big data analytics, machine learning, and real-time processing. Data lakes support diverse data types and provide organizations with the agility to derive insights without needing to conform to strict schemas, fostering innovation and data exploration.