Difference between data mart and data lake and data repository?

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Accepted Answer

Data mart is a subset of a data warehouse focused on a specific business line, data lake is a centralized repository for raw data, and data repository is a general term for any storage system for data.

Data mart is a subset of a data warehouse, containing a specific set of data relevant to a particular business line or team.
Data lake is a centralized repository that stores large amounts of raw data in its native format until needed.
Data repository is a general term for any storage system that houses data, including databases, data warehouses, and data lakes.
Examples: A sales data mart containing sales data for a specific region, a data lake storing raw customer interaction data, a data repository consisting of multiple databases and data warehouses.

Difference between data mart and data lake and data repository?

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