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- Subject-oriented, integrated, time-variant, and nonvolatileData warehousing is the process of constructing and using a data warehouse, which is a centralized repository of data from various sources that supports analytical reporting and decision making12. A data warehouse is subject-oriented, integrated, time-variant, and nonvolatile3. This means that the data is organized by topics, consistent and standardized, historical and updated, and not changed once stored. Data warehousing involves data cleaning, data integration, and data consolidation1.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 warehousing is the process of constructing and using a data warehouse. 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 is:
- A centralized repository: It serves as a central location where data from various sources is stored.
reconfigured.io/blog/data-warehouse-basics-compr…Characteristics of data warehouses
- Subject-oriented Data warehousing is a critical tool for business decision-making. ...
www.arsanalytics.com/post/data-warehouse-101-a … - People also ask
WEBDec 28, 2023 · This course covers the basics of data warehousing, such as types, architecture, ETL, data modeling, OLAP, OLTP, and more. It also includes advanced topics, best tools, and interview questions for data warehousing professionals.
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