Data Warehouse vs Transactional Database
There is one response. Read the response, and with a 100 word response.
Response.). Carter
A data warehouse is a means of storing massive amounts of data in an electronic format and is the source of information for a decision support system (DSS) (Barreto, 2019). Data warehouses may be characterized as subject-oriented, non-volatile, integrated, and time-variant (Barreto, 2019; Martin, 2019).
The main differences between a data warehouse and a transactional database relate to the underlying tables (Brown, 2022). The tables underlying a transactional database are designed to be updated quickly and efficiently, while the tables for data warehouses are developed to allow for effective reading and analysis of stored data (Brown, 2022). Transactional databases are composed of smaller, normalized tables (Brown, 2022). These tables must be joined together to effectively analyze data, and the process is excessively inefficient.
References
Brown, M. (2022). Data warehouses and transactional databases: What’s the difference? Built In. https://builtin.com/big-data/data-warehouse-vs-transactional-databaseLinks to an external site.
Barreto, L. P. T. (2019). Real time data intake and data warehouse integration (Order No. 29139718). Available from ProQuest Dissertations & Theses Global. (2689291230). https://www.proquest.com/dissertations-theses/real-time-data-intake-warehouse-integration/docview/2689291230/se-2Links to an external site.
Martin, B. (2019). Collocation of data in a multi-temperate logical data warehouse (Order No. 28355466). Available from ProQuest Dissertations & Theses Global. (2516143802). https://www.proquest.com/dissertations-theses/collocation-data-multi-temperate-logical/docview/2516143802/se-2Links to an external site.
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