Keywords: Data warehouse, Information System success model, service quality and relationship quality Abstract Data warehouse (DW) refers to a system architecture rather than a software product or application, and it is used to improve Information Technology (IT) infrastructure. However, the rate of its successful implementation is still low and most firms report failure to leverage the system for their goals. This paper provided a discussion of the results of the model based on Information System (IS) Success Model, particularly the relationship between quality factors and the net benefits obtained from the data warehouse system. Independent variables were selected to gauge service quality and relationship quality service, while the dependent variable measured the net benefits obtained from the system. The paper provided a background on data warehouse and successful implementation of data warehouse, as well as a description of the research model and proposed hypotheses inclusive of the affective factors. It provided a deep insight into the data warehouse success factors with the use of data warehouse success model that ultimately provided informed inferences for decision making regarding successful data warehousing implementation. DOI: https://doi.org/10.55562/jrucs.v42i1.169
Indexing techniques are utilized for the process of retrieving information form databases. This research presents a comparison among the indexing techniques used in different Database Management System to provide a guide for database developers and DBAs for selecting a suitable indexing technique which is required for the data under consideration. Furthermore, we have compared the results between different types of indexing techniques in Oracle and MS-SQL Server. Even it is very difficult to compare between these two different types of platforms. Finally, after run our experimental tests on these http:-Â https://www.journalijar.com/article/8418/a-guideline-to-select-indexing-technology-for-relational-database-management-systems/