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A data lake is a centralized repository of all enterprise data that can store structured and unstructured data at any scale. Modern cloud data lakes are implemented with a loosely coupled architecture and have numerous benefits over tightly coupled data warehouses. This article explains the ten mistakes to avoid when querying data lakes, focusing on effective best practices for keeping data in data lake storage and querying it directly, thereby raising productivity and efficiency and lowering costs and complexity.