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- Data Mart and Data Warehouse are related concepts in data management:Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department. A data warehouse is a large centralized repository of data that contains information from many sources within an organization.panoply.io/data-warehouse-guide/data-mart-vs-dat…A Data Warehouse acts as a large Data Storage Unit for all your business data and is used to help an organization make informed decisions. Data Marts, on the other hand, are particular subsets of Data Warehouses that work on a particular line of business.hevodata.com/learn/data-mart-vs-data-warehouse …Data marts are subsets of a data warehouse that serve specific business needs, while the data warehouse caters to the overall organizational data requirements. The decision to use data marts or a data warehouse depends on the scale and specificity of your analytical needs.www.astera.com/type/blog/data-mart-vs-data-ware…Data warehouses aggregate large volumes of data from multiple sources such as transactional applications and application log files into a single repository of highly structured and unified historical data. Data marts consist of a subset of this warehouse data which is relevant to a specific subject or department in your organization.www.qlik.com/us/data-warehouse/data-martA data mart is a simple form of a Data Warehouse. It is focused on a single subject. Data Mart draws data from only a few sources. These sources may be central Data warehouse, internal operational systems, or external data sources. A Data Mart is an index and extraction system. It is an important subset of a data warehouse.www.guru99.com/data-warehouse-vs-data-mart.html
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