A high performance integrated web data warehousing

Abstract

Over the years, we have seen a significant number of integration techniques for data warehouses to support web integrated data. However, the existing works focus extensively on the design concept. In this paper, we focus on the performance of a web database application such as an integrated web data warehousing using a well-defined and uniform structure to deal with web information sources including semi-structured data such as XML data, and documents such as HTML in a web data warehouse system. By using a case study, our implementation of the prototype is a web manipulation concept for both incoming sources and result outputs. Thus, the system not only can be operated through the web, it can also handle the integration of web data sources and structured data sources. Our main contribution is the performance evaluation of an integrated web data warehouse application which includes two tasks. Task one is to perform a verification of the correctness of integrated data based on the result set that is retrieved from the web integrated data warehouse system using complex and OLAP queries. The result set is checked against the result set that is retrieved from the existing independent data source systems. Task two is to measure the performance of OLAP or complex query by investigating source operation functions X.T. Dung ( ) · used by these queries to retrieve the data. The information of source operation functions used by each query is obtained using the TKPROF utility.

An Efficient and Generic Algorithm for Matrix Inversion

“…This helps shifting resources to more critical queries than load jobs. Dung et al (2007) experiment the performance evaluation of an integrated web data warehouse application. Beszedes et al (2003) suggested the technique of program-code compression because the reduced-sized code can have a positive impact on network traffic and embedded system costs such as memory requirements and power consumption.…”

Towards Comparative Mining of Web Document Objects with NFA

“…A complete classification of all these different types of web contents does not exist. Web content data are updated frequently, volatile and not historical (Bhowmick et al, 1999;Dung, Rahayu, & Taniar, 2007). The creation and maintenance of a data warehouse based on the web content data is needed for effective derived and historical querying of web content data.…”