The significance of data lakes for big data storage lies in their ability to store vast amounts of unstructured, semi-structured, and structured data in its native format. Unlike traditional databases, data lakes are highly scalable and can handle diverse data types, making them ideal for big data analytics. They allow organizations to consolidate data from multiple sources and enable data scientists and analysts to perform advanced analytics, machine learning, and real-time processing. This flexibility facilitates deeper insights and supports data-driven decision-making.