Web-enabled Data Warehouse and Data Webhouse

In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web-enabled data warehouse. The web revolution has propelled the data warehouse out onto the main stage, because in many situations the data warehouse must be the engine that controls or analysis the web experience. In order to step up to this new responsibility, the data warehouse must adjust. The nature of the data warehouse needs to be somewhat different. As a result, our data warehouses are becoming data webhouses. The data warehouse is becoming the infrastructure that supports customer relationship management (CRM). And the data warehouse is being asked to make the customer clickstream available for analysis. This rebirth of data warehousing architecture is called the data webhouse.data warehouse, web-enabled, data mart, Internet, intranet, extranet

Web-enabled Data Warehouse and Data Webhouse

In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web-enabled data warehouse. The web revolution has propelled the data warehouse out onto the main stage, because in many situations the data warehouse must be the engine that controls or analysis the web experience. In order to step up to this new responsibility, the data warehouse must adjust. The nature of the data warehouse needs to be somewhat different. As a result, our data warehouses are becoming data webhouses. The data warehouse is becoming the infrastructure that supports customer relationship management (CRM). And the data warehouse is being asked to make the customer clickstream available for analysis. This rebirth of data warehousing architecture is called the data webhouse

Diamond Dicing

In OLAP, analysts often select an interesting sample of the data. For example, an analyst might focus on products bringing revenues of at least 100 000 dollars, or on shops having sales greater than 400 000 dollars. However, current systems do not allow the application of both of these thresholds simultaneously, selecting products and shops satisfying both thresholds. For such purposes, we introduce the diamond cube operator, filling a gap among existing data warehouse operations. Because of the interaction between dimensions the computation of diamond cubes is challenging. We compare and test various algorithms on large data sets of more than 100 million facts. We find that while it is possible to implement diamonds in SQL, it is inefficient. Indeed, our custom implementation can be a hundred times faster than popular database engines (including a row-store and a column-store).Comment: 29 page

ICT and Romania's Development Towards the Knowledge Economy

The new stage of the market-based economy is more strongly and more directly rooted in the production, distribution and use of knowledge. Knowledge creation and knowledge diffusion are key driving forces in the economy and knowledge has become an economic resource in its own right (Fischer and Atalik, 2002). Accordingly, firms are more and more interested in absorbing the advances in technological and organizational knowledge and in applying it in the production process and organization of work. In this context, any discussion about knowledge invariably leads to the question of the relationship between information and knowledge. Thus, according to Fischer, the common understanding is that "information does not become knowledge unless its value is enhanced through interpretation, organization, filtration, selection or engineering" (Fischer, 2002, p. 18). Moreover, nowadays the ICT revolution and the knowledge-based economy are closely interrelated. The convergence of computing, information and telecommunication technologies has changed the conditions for the production and dissemination of knowledge and its connection with the production system as well. New flexible information and communication technologies such as internet, web, intranet, extranet, data warehousing and data mining, as well as collaborative groupware technologies are responsible for the major changes in current abilities to handle data and information, to codify knowledge and to transmit codified knowledge (Fischer, 2006).ICT, knowledges

An Open Source Based Data Warehouse Architecture to Support Decision Making in the Tourism Sector

In this paper an alternative Tourism oriented Data Warehousing architecture is proposed which makes use of the most recent free and open source technologies like Java, Postgresql and XML. Such architecture's aim will be to support the decision making process and giving an integrated view of the whole Tourism reality in an established context (local, regional, national, etc.) without requesting big investments for getting the necessary software.Tourism, Data warehousing architecture

IMPLEMETING THE E-MANAGEMENT WITHIN THE SMALL AND MEDIUM ENTERPRISES IN ROMANIA - A PREMISE FOR ENSURING A DURABLE DEVELOPMENT

The present article introduces the ways and advantages of implementing the e-Management systems, based on decision assistance software, within the Romanian small and medium enterprises that have set as main goal for the near future the durable development, considering the more and more turbulent and dynamic business environment.SMEs, opportunities, informational society, knowledge society, E-Management, E-Business, Management, performance, durable development

Consumer-driven innovation networks and e-business management systems

This paper examines the use of consumer-driven innovation networks within the UK food-retailing industry using qualitative interview-based research analysed within an economic framework. This perspective revealed that, by exploiting information gathered directly from their customers at point-of-sale and data mining, supermarkets are able to identify consumer preferences and co-ordinate new product development via innovation networks. This has been made possible through their information control of the supply-chain established through the use of transparent inventory management systems. As a result, supermarkets’ e-business systems have established new competitive processes in the UK food-processing and retailing industry and are an example of consumer-driven innovation networks. The informant-based qualitative approach also revealed that trust-based transacting relationships operated differently from those previously described in the literature

Border cities: economic competitors or complements?

Maquiladora