Data Lake vs Data Warehouse: Key Differences and Best Use Cases for Modern Data Management

Data Lake vs Data Warehouse: Key Differences and Best Use Cases for Modern Data Management

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In today’s data-driven world, organizations must manage massive volumes of structured and unstructured data. Two dominant solutions have emerged to handle this complexity: data lakes and data warehouses. While both serve the purpose of storing and managing data, their design, functionality, and best-use scenarios differ significantly.