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  2. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations.
    www.tutorialspoint.com/dwh/dwh_data_warehousin…

    A Data Warehouse can be viewed as a data system with the following attributes:

    • It is a database designed for investigative tasks, using data from various applications.
    • It supports a relatively small number of clients with relatively long interactions.
    www.javatpoint.com/data-warehouse

    A data warehouse is:

    • A centralized repository: It serves as a central location where data from various sources is stored.
    reconfigured.io/blog/data-warehouse-basics-compr…
     
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  7. WebData warehouses aren’t exactly a new concept, but industry demand for data science services, coupled with the rise of AI and machine learning, is making them more relevant than ever. In this post, Toptal Data

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