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  2. A data mart is a simple form of a data warehouse that is focused on a single subject or line of business, such as sales, finance, or marketing. Given their focus, data marts draw data from fewer sources than data warehouses. Data mart sources can include internal operational systems, a central data warehouse, and external data.
    www.oracle.com/autonomous-database/what-is-dat…

    Data mart:

    • Often holds only one subject area- for example, Finance, or Sales
    • May hold more summarized data (although it may hold full detail)
    en.wikipedia.org/wiki/Data_mart

    Below are key characteristics of data marts:

    • Subject-Oriented: Data marts are designed around specific business subjects or departments, such as sales, finance, or marketing. ...
    insightsoftware.com/encyclopedia/data-mart/
     
  3. People also ask
    What are the characteristics of a data mart?Below are key characteristics of data marts: Subject-Oriented: Data marts are designed around specific business subjects or departments, such as sales, finance, or marketing. This focus allows for a more detailed and relevant analysis within a particular domain.
    What makes data mart unique?One of Data Mart’s defining features is its subject-orientedness. As opposed to a traditional data warehouses, is created to specifically address the requirements of a given business unit or function.
    How does a data mart work?A data mart turns raw information into structured, meaningful content for a specific business department. To do this, data engineers set up a data mart to receive information either from a data warehouse or directly from external data sources.
    What is a data mart in business intelligence?Within business intelligence, a data mart is the access layer of a data warehouse that is used to provide users with data. Data marts are often seen as small slices of the data warehouse. Data warehouses typically house enterprise-wide data, and information stored in a data mart usually belongs to a specific department or team.
     
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