The management of organizational knowledge is becoming a key requirement in many engineering organizations. In many cases, it is difficult to capture this knowledge directly, as it is hidden in the way-of-working followed by networks of highly qualified specialists. Moreover, much of this knowledge is strongly context-dependent, so rules to be followed must be augmented by adequate situation an...

We present the WebContent platform for managing distributed repositories of XML and semantic Web data. The platform allows integrating various data processing building blocks (crawling, translation, semantic annotation, full-text search, structured XML querying, and semantic querying), presented as Web services, into a large-scale efficient platform. Calls to various services are combined insid...

These instructions Poor performance can turn a successful data warehousing project into a failure. Consequently, several attempts have been made by various researchers to deal with the problem of scheduling the Extract-Transform-Load (ETL) process. In this paper present several approaches in the context of enhancing the data warehousing Extract, Transform and loading stages. To focus on enhanci...

A data warehouse stores integrated information from multiple distributed data sources. In effect, the warehouse stores materialized views over the source data. The problem of ensuring data consistency at the warehouse can be divided into two components: ensuring that each view reflects a consistent state of the base data, and ensuring that multiple views are mutually consistent. In this paper w...

Data warehouses and recording systems typically have a large continuous stream of incoming data, that must be stored in a manner suitable for future access. Access to stored records is usually based on a key. Organizing the data on disk as the data arrives using standard techniques would result in either (a) one or more I/OS to store each incoming record (to keep the data clustered by the key),...

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd data warehousing using the wal mart mode...

I. ABSTRACT How large are data warehouses? How fast are they growing? How big are they going to get? What is driving their growth? Why is all this data of value in commercial enterprises? What can we say about how these large data warehouses are being used? What are some key challenges ahead? In this talk, Richard Winter will share his views and observations concerning these questions and other...

As many organizations begin to go to production with large Enterprise Resource Planning (ERP) systems, the need for reporting and analysis on this information has grown. This paper will discuss the issues associated with designing a data warehouse for an ERP system. This paper is intended for people with a basic understanding of both data warehousing and ERP systems such as SAP AG, Oracle, Peop...

Detecting and extracting modifications from information sources is an integral part of data warehousing. For unsophisticated sources, it is often necessary to infer modifications by periodically comparing snap shots of data from the source. Although this snapshot differential problena is closely related to traditional joins, there are significant differences, which lead to simple new algorithms...

In an increasingly competitive market, banks are constantly searching for sustainable competitive advantage to help them maintain their edge against competition. Over the years, banks have tried various drivers for competitive advantage, none of which were sufficient barriers for competitors. Understanding the behavior of their customers and using this knowledge to drive the interaction with cu...