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  2. What is data mart vs data warehouse?
    Differences between data warehouse and data mart1234:
    • Purpose: A data warehouse is designed for analytical work and can process data from multiple sources, while a data mart is limited to serving the needs of a single department or business line.
    • Size and Scope: A data warehouse is a centralized repository for all aspects of a business, whereas a data mart stores a smaller amount of data related to a specific department or project.
    • Storage Approach: Data within a data warehouse is centralized, while a data mart stores it in a decentralized manner.
    Learn more:
    What is data mart vs data warehouse?
    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…
    What is data mart vs data warehouse?
    A Data Warehouse is a centralised repository that collects and stores data from multiple sources. On the other hand, a Data Mart is a subset of a Data Warehouse designed to fulfil the specific needs of a department. The choice between a Data Mart and a Data Warehouse can greatly impact the Data Management strategy of an organisation.
    www.theknowledgeacademy.com/blog/data-mart-v…
    What is 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 …
    What is data mart vs data warehouse?
    The key differences between data warehouse and data mart are: A data mart depends on a department that uses it for decision-making purposes, whereas a data warehouse is an independent application system. All data within a data warehouse is in a centralized archive, while a data mart stores it in a decentralized manner.
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