Designing Data Marts from XML and Relational Data Sources

Designing Data Marts from XML and Relational Data Sources

Yasser Hachaichi (Mir@cl Laboratory, Faculté des Sciences Economiques et de Gestion, Tunisia), Jamel Feki (Mir@cl Laboratory, Faculté des Sciences Economiques et de Gestion, Tunisia) and Hanene Ben-Abdallah (Mir@cl Laboratory, Faculté des Sciences Economiques et de Gestion, Tunisia)
DOI: 10.4018/978-1-61692-852-0.ch207
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Abstract

Due to the international economic competition, enterprises are ever looking for efficient methods to build data marts/warehouses to analyze the large data volume in their decision making process. On the other hand, even though the relational data model is the most commonly used model, any data mart/ warehouse construction method must now deal with other data types and in particular XML documents which represent the dominant type of data exchanged between partners and retrieved from the Web. This chapter presents a data mart design method that starts from both a relational database source and XML documents compliant to a given DTD. Besides considering these two types of data structures, the originality of our method lies in its being decision maker centered, its automatic extraction of loadable data mart schemas and its genericity.

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