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Data lakes are a powerful tool for organizations in the data-driven age, offering flexible storage and preserving data in its native format. This allows companies to explore data easily, foster collaboration, and make data-driven decisions. Data lakes have applications in various industries, from retail to finance, driving business growth. Data lakes feature a flat architecture designed for storing data primarily in files and objects, allowing organizations to employ exploratory analytics techniques to uncover hidden patterns and correlations. Data lakes enable companies to store their data in the data lake directly, extracting it from multiple sources without the need for time-consuming conversion processes or associated overhead.
