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Data Warehousing and Mobile Computing
In the contemporary competitive environment, organizations are being forced to collect, store and analyze a large volume of data to make an analytical decision. However, business executives are faced with the time constraints when analyzing data, thus, data warehousing over the mobile computing have come into existing to assist in analyzing data quickly anywhere to assist in enhancing an effective timely decision. The study presents the literature reviews on the application of the data warehousing over the mobile computing. The study reveals that as firms are increasingly doing their businesses online, thus, storing and accessing data over the mobile devices are becoming a necessity. With the growth of the powerful laptop and internet, it is now possible to store a large volume of data in the mobile devices and cloud computing. (Bakar, & Ta's, (2012). Towards the middle of the 2000s, the data warehousing is only used to support business strategic decisions. However, in the contemporary competitive business environment, organizations are being forced to make quick and quality decisions to improve financial performances, enhance administration, increase profitability, and assist human resources. Faced with time constraints, businesses are being forced to collect and analyze data quickly, thus, the data warehousing tools are increasing being integrated into the mobile devices to enhance faster decision.
Introduction
Data warehousing is defined as the database system that organizations use for reporting and analysis. Typically, DW (data warehousing) has been identified as the core components of business intelligence by storing both the current and historical data to create an analytical report. With the rapid development of information technology, the application of mobile devices has become a norm. Moreover, the emergence trends in the use of mobile devices have made a large number of developers integrate data warehousing tool in the
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The objective of this paper is to conduct a literature review on data warehousing and mobile computing.
Literature Review
Golfarelli, & Rizzi, (2009) argued that an increase in the demand of data warehousing in the business environment has necessitated a move to data warehousing model into the mobile devices. However, the approach to achieve the mobile data warehouse objective is to use the DM (dimension modeling) to enhance a consistency in the design environment. According to Bakar, & Ta's, (2012), the dimension modeling has been proved successful for the development of the mobile data warehousing since 1999. However, mobile devices such as iPhone, Tablet, and Palm Top have limited computing power (memory, computer power, display screen and weight). To solve this problem, Gaspar et al. (2011) propose a warehouse application over the "Microsoft Dynamics Navision 5.0 Enterprise Resource Planning system." (Gaspar et al. 2011 p 1).
Golfarelli, & Rizzi, (2009) contribute to the argument by pointing out that data warehousing technology needs to be…
Reference
Bakar, M.S.A., & Ta's, A. (2012). Data Warehouse Design for Mobile Environment. Knowledge Management International Conference (KMICe), 4(6): 208-212.
Gaspar, V., Madarasz, L., Paralic, J., & Tenaiova, K. (2011). Design and implementation of a client warehouse application over an enterprise resource planning system for mobile devices. Paper presented at the Logistics and Industrial Informatics (LINDI), 2011 3rd IEEE International Symposium.
Golfarelli, M., & Rizzi, S. (2009). Survey Article A Survey on Temporal Data Warehousing. International Journal of Data Warehousing and Mining, 5 (1): 1-17.
Stanoi, I., Agrawal, D., Abbadi, A.E., et al. (1999). Data warehousing alternatives for mobile environments. Mobide '99 Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access: 110-115.
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