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  2. The main differences between a data warehouse and a data mart are1234:
    • Data Warehouse is a large repository of data collected from different sources, whereas Data Mart is only a subtype of a data warehouse.
    • Data Warehouse is focused on all departments in an organization, whereas Data Mart focuses on a specific group.
    • Data Warehouse provides an enterprise-wide view for its centralized system, and it is independent, whereas Data Mart provides departmental view and decentralized storage as it is a subset of a Data Warehouse.
    • Data Warehouse is application-oriented, whereas Data Mart is used for a decision support system.
    Learn more:
    Data Warehouse is a large repository of data collected from different sources, whereas Data Mart is only subtype of a data warehouse. Data Warehouse is focused on all departments in an organization, whereas Data Mart focuses on a specific group.
    www.guru99.com/data-warehouse-vs-data-mart.html
    A data warehouse is a relational database designed for analytical rather than transactional work, capable of processing and transforming data sets from multiple sources. On the other hand, a data mart is typically limited to holding warehouse data for a single purpose, such as serving the needs of a single line of business or company department.
    www.snowflake.com/guides/difference-between-dat…
    While a data warehouse serves as the global database of a business and stores data about any aspect of the company, a data mart stores a small amount of data related to a specific business department or project.
    blog.bismart.com/en/data-warehouse-vs-data-mart …
    Data Warehouse provides an enterprise-wide view for its centralized system, and it is independent, whereas Data Mart provides departmental view and decentralized storage as it is a subset of a Data Warehouse. Data Warehouse is application-oriented, whereas Data Mart is used for a decision support system.
    www.educba.com/data-warehouse-vs-data-mart/
     
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