Explain the use of metadata in data warehousing. Discuss the different types of metadata and their roles. Provide examples of how metadata can enhance the usability, maintenance, and performance of a data warehouse.

Metadata in data warehousing refers to the structured information that describes the data stored in the warehouse, including its sources, transformations, and usage. It acts as a blueprint for the data warehouse, making it easier to manage, navigate, and use the data effectively. Metadata enables users and administrators to understand the structure and meaning of the data, which enhances the usability, maintenance, and performance of the system.

There are three primary types of metadata in data warehousing: business metadata, technical metadata, and operational metadata. 

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