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  2. Subject-oriented relational database

    A data mart is a subject-oriented relational database that stores transactional data in rows and columns, which makes it easy to access, organize, and understand. As it contains historical data, this structure makes it easier for an analyst to determine data trends.
    www.ibm.com/topics/data-mart
    www.ibm.com/topics/data-mart
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  3. People also ask
    What is the purpose of a data mart?The purpose of a data mart is to isolate data sets so that a team can request specific data based on what they need at that moment. To give you a better idea of when data marts are used, here are some common use cases:
    What is the difference between a data mart and a database?Keys are the non-repetitive values in specific columns. A data mart serves as the front-facing element for a department’s data. You can use a data mart to retrieve and analyze information. Meanwhile, a database collects, manages, and stores information. You can then use tools to process, format, and transfer the stored information to a data mart.
    What is an example of a data mart?For example, many companies may have a data mart that aligns with a specific department in the business, such as finance, sales or marketing. Learn how to leverage the right databases for applications, analytics and generative AI.
    What is a dimensional data mart?Dimensional data marts related to specific business lines can be created from the data warehouse when they are needed. In the Inmon model, data in the data warehouse is integrated, meaning the data warehouse is the source of the data that ends up in the different data marts. This ensures data integrity and consistency across the organization.
     
  4. What Is a Data Mart? IBM

     
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