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cumstances decide the success of data warehouses (Kelly, 1997). The article actually presents a new insight for the execution process as well as interventions that can lead to the achievement of goals. In today's era, data warehousing represents a significant solution to the increasing challenge. A data warehouse is a single large database that has collected relevant information from several other sources (Kelly, 1997).

Article 4: “Does Data Warehouse End-User Metadata Add Value?” by Neil Foshay, Avinandan Mukherjee and Andrew Taylor in 2007.

This article “Does Data Warehouse End-User Metadata Add Value?” was written by Neil Foshay, Avinandan Mukherjee and Andrew Taylor in 2007 on the basis of their research study. Presently, knowledge workers are not able to use data warehouses efficiently. Levels of adoption can be increased by the use of good quality end-user metadata. Metadata provision develops the end-user services as it helps in searching of digital documents. End-user metadata is also known as business metadata and context is added in it. Business definitions for specific data attributes are provided by end-user metadata (Dyche, 2000).

Metadata is a list of information for primary data and it also identifies access to the warehouse. It makes the meaning clear and gives definitions to various terms in business and data elements. It provides users with a roadmap to the information. End-user and transformational are the two types of metadata. End-user metadata is helpful in business, as it decodes cryptic name code. After decoding, the data can be recognized and used by the end-users as data element is now meaningfully described. The end-user metadata has a positive influence on the attitudes of user and level of utilization of data warehouse. End-user metadata can be standardized and in the business, it defines the layers of metadata. End-user metadata has an application for the users who look for analysis before or after forwarding queries and specific data elements are described by it.

Article 5: Web-Based Data Warehousing: Current Status and Perspective by Binshan Lin and Chang-Tseh Hsieh in 2002.

This article was written by C. Hsiesh in December 2002. In this article, he analyzes the present position of the Web-based Data Warehousing and its future perspectives. The feasibility of data warehousing in businesses has increased due to the quick propagation of personal computers and the networking technologies. It started in the organizations for catering the needs of different departments. There was no coordination among them. The Internet has changed all the information delivery process within and outside the organizations. In fact, the profitability has really been enhanced due to the facilitation of customer-driven e- marketplaces, both B2C and B2B (Binshan, January 2002).

In the later part, the distributed architecture was developed but it failed to provide the common metadata component, which led to the formation of “legamarts”. This customized version supported an incremental approach to the data warehouse. It included the common dimensions, enterprise subject areas, metrics, data sources and business rules. All of these were represented in the GMR fo本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。