What is the difference between a data warehouse and a data lake?

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A data warehouse is a structured, relational database system designed for efficient querying and reporting. It stores structured data and enforces a schema for data consistency. In contrast, a data lake is a flexible, unstructured storage repository that can store structured, semi-structured, and unstructured data, allowing for the storage of vast amounts of raw data without a fixed schema. Data lakes are more suitable for big data and advanced analytics, while data warehouses are optimized for traditional business intelligence tasks.

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What is the difference between a data warehouse and a data lake?