Modern data lakes promise centralized, scalable storage for structured and unstructured data — but not without misconceptions. One myth is that a data lake is a “set it and forget it” solution. In reality, without governance, metadata management, and proper architecture, data lakes can become costly “data swamps.” Another myth is that only tech giants benefit from them. However, with cloud-native solutions, mid-sized enterprises can now affordably harness data lakes to fuel analytics, AI, and real-time decision-making. Success lies in balancing flexibility with structure and aligning data lake strategies with business objectives.
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