Data Warehouse vs. Data Lake Cheat Sheet

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.

Which one best fits your needs? Let us know in the comments, and be sure to hit that like button.

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