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  2. Differences between data mart and data warehouse12345:
    • Purpose: A data warehouse is designed for analytical work and can process data from multiple sources. A data mart is limited to serving the needs of a specific business unit.
    • Size and Scope: A data warehouse is larger and serves the entire organization, while a data mart is smaller and focused on a specific department or project.
    • Structure: A data warehouse stores data in a structured format, while a data mart is a subtype of a data warehouse.
    Learn more:
    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…
    A data warehouse stores data in a structured format. It is a central repository of preprocessed data for analytics and business intelligence. A data mart is a data warehouse that serves the needs of a specific business unit, like a company’s finance, marketing, or sales department.
    aws.amazon.com/compare/the-difference-between …
    A data mart is a database that serves a single business function, such as marketing or finance. On the other hand, a data warehouse can serve more than one function.This is what differentiates a data mart vs. a data warehouse. Data warehouses are databases that hold data marts and serve more than one business function in one place.
    www.alteryx.com/blog/data-mart-vs-data-warehouse
    The main difference between the two databases is their size and approach. 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 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. Data Warehouse designing process is complicated, whereas the Data Mart process is easy to design.
    www.guru99.com/data-warehouse-vs-data-mart.html
     
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