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Data warehouse on Manpower Employment for Decision Support System (1904.01134v1)

Published 1 Apr 2019 in cs.DB

Abstract: Since the use of computers in the business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in the database. The database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of a data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of a data warehouse is to provide data for supporting the decision-making process. Data in a data warehouse environment is a multidimensional data store. We can simply say that data warehouse is a process, not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of the decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data.

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