Data Transformation Services ( DTS ) : Creating Data Mart by Consolidating Multi - Source Enterprise Operational Data

Abstract

Trends in business intelligence, e-commerce and remote access make it necessary and practical to store data in different ways on multiple systems with different operating systems. As business evolve and grow, they require efficient computerized solution to perform data update and to access data from diverse enterprise business applications. The objective of this paper is to demonstrate the capability of DTS [1] as a database solution for automatic data transfer and update in solving business problem. This DTS package is developed for the sales of variety of plants and eventually expanded into commercial supply and landscaping business. Dimension data modeling is used in DTS package to extract, transform and load data from heterogeneous database systems such as MySQL, Microsoft Access and Oracle that consolidates into a Data Mart residing in SQL Server. Hence, the data transfer from various databases is scheduled to run automatically every quarter of the year to review the efficient sales analysis. Therefore, DTS is absolutely an attractive solution for automatic data transfer and update which meeting today’s business needs. Keywords—Data Transformation Services (DTS), Object Linking and Embedding Database (OLEDB), Data Mart, Online Analytical Processing (OLAP), Online Transactional Processing (OLTP).

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Cite this paper

@inproceedings{Yusop2009DataTS, title={Data Transformation Services ( DTS ) : Creating Data Mart by Consolidating Multi - Source Enterprise Operational Data}, author={Salma Mohamad Yusop}, year={2009} }