A data lake stores raw data of any type — structured, semi-structured and unstructured — at low cost and large scale, to be processed later. It trades upfront structure for flexibility.
Lakes suit machine learning and exploratory analytics where you want to keep everything and decide how to use it later. The "lakehouse" pattern adds warehouse-like structure and governance on top of lake storage.
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