Data Warehouse vs. Data Lake Cheat Sheet

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Data warehouses and data lakes are both data repositories designed for housing vast amounts of data that traditional relational databases can’t handle. But, they differ in five main areas: Data types, purpose, data capture, data normalization, benefits, and data quality.

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