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Data Mart

A data mart is a subset of a data warehouse oriented to a specific business line. Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department.

What is data mart with example?

Think of a large retail organization. Data marts might exist for the major lines of business, but other marts could be designed for specific products. Examples include seasonal products, lawn and garden, or toys.

What are the types of data mart?

Three basic types of data marts are dependent, independent, and hybrid. The categorization is based primarily on the data source that feeds the data mart. Dependent data marts draw data from a central data warehouse that has already been created.

What is the function of a data mart?

Thus, the primary purpose of a data mart is to isolate – or partition – a smaller set of data from a whole to provide easier data access for the end consumers. A data mart can be created from an existing data warehouse – the top-down approach – or from other sources, such as internal operational systems or external data.

What’s the difference between a data warehouse and a data mart?

A Data Warehouse is a blend of technologies and components which allows the strategic use of data. A data mart is simple form of a Data Warehouse. It is focused on a single subject. The data in Data Warehouse assembled from multiple sources to provide accurate and timely information. See the full article for more details.

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