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A data mart is a subset of a data warehouse that is designed to answer a specific question, serve a specific department, business unit, or line of business within an organization. It provides a more focused view of an organization's data, tailored to meet the specific needs of a particular group. Data marts contain only the data that is relevant to a specific business unit, and can be created and managed independently of the main data warehouse.
Data marts are often used to address performance and scalability issues in large data warehouses. By breaking down a large data warehouse into smaller, more manageable pieces, data marts can help organizations more easily manage and analyze their data, while also providing a more focused view of the data that is most relevant to each business unit.
In summary, a data mart is a subset of a data warehouse that provides a tailored view of an organization's data for a specific department, business unit, or line of business, helping to improve performance, scalability, and the ability to derive meaningful insights from the data.
A data mart matters because it provides organizations with a focused and tailored view of their data, specifically designed to meet the needs of a particular department, business unit, or line of business.
The following are some of the key benefits of using a data mart:
Overall, a data mart provides organizations with a valuable tool for managing and analyzing their data, enabling them to make better-informed decisions and drive business outcomes.