This paper presents a methodology to develop a dimensional data warehouse by integrating all three development approaches such as supply-driven, goaldriven and demand-driven. By having the combination of all three approaches, the final design will ensure that user requirements, company interest and existing source of data are included in the model. We proposed an automatic system using ontology as the knowledge domain. Starting from operational ER-D (Entity Relationship-Diagram), the selection of facts table, verification of terms and consistency checking will utilize domain ontology. The model will also be verified against user and company requirements. Any discrepancy in the final design requires designer and user intervention. The proposed methodology is supported by a prototype using a business data warehouse example.
In this modern era, we are living in the age of big data. All over the world recently, the organizations including the government is taking initiative to adapt and implement big data. Nowadays, government do not want to only collect data, but they want to understand the meaning and the significance of the data, as well as to analyze the data and aid them in making strategic decisions. This paper is aimed to review on the definition of big data and egovernment specifically, also reviews the initiatives of big data on government in several countries, including highlights on issues and challenges peculiar to the big data initiatives.
Empirical researches on the nexus between renewable energy supply and economic growth have been neglected. To address this gap, this study aims to examine the relationship between hydropower energy supply (HES) and economic growth within a multivariate model for the 1978-2017 period. This study utilized the auto regressive distributive lag (ARDL) bounds approach to testing for cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM) to test for causality. The bounds F-test for cointegration shows that HES, electricity consumption, capital formation and GDP growth share a long-run relationship. Results show that HES has a significant positive impact on economic growth in the short-run. The causality tests yield evidence of unidirectional long-run and short-run causality running from economic growth to HES, suggesting that economic growth is necessary for providing the essential resources for fostering the HES. The existence of cointegration among HES and GDP growth infers that HES will not drift too far away from economic growth in the long-run. Thus, the government needs to ensure a sufficient supply of hydropower energy in the short-run and the long-run.
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