Monday, January 6, 2014

Modelando Estrategias Data Warehouse

36 April 2006/Vol. 49, No. 4 COMMUNICATIONS OF THE ACM By Nenad Jukic cast STRATEGIES AND ALTERNATIVES FOR info WAREHOUSING PROJECTS Choosing the appropriate modeling address is lots the unfavorable factor in the success or failure of a selective information computer memory implementation. D ata computer storage has become a bar practice for most cock-a-hoop companies worldwide. The selective information stored in the info warehouse nates capture many different aspects of the blood process, such as manufacturing, distribution, sales, and marketing. This selective information reflects explicitly and implicitly customer patterns and trends, the effectiveness of line of reasoning strategies and resultant practices, and other characteristics. Such selective information is of vital wideness to the success of the business whose state it captures. This is wherefore companies decide to act in the relatively expensive lying-in of creating and maintaining a entropy warehouse, where the costs routinely reach millions of dollars [11]. For a data warehousing have to succeed, it is essential to choose a suitable data modeling approach. Organizations considering a data warehousing project should picture the real differences and trade-offs between available methodologies and determine for themselves which approach is best(p) suited for their environments. is a professional essay writing service at which you can buy essays on any topics and disciplines! All custom essays are written by professional writers!
Despite the growing pervasiveness of data warehouses, at that amaze is hardly a consensus among researchers and practitioners about the most appropriate data modeling strategies for data warehousing projects. In come in to contain on readers recognize wh! at the choices are and the implications of making a grumpy selection, this article provides an impartial and concise view of the competing methodologies and the issues that drive the ongoing parameter about them. DATA WAREHOUSES AND DATA MARTS A typical institution maintains and utilizes a number of operating(a) data sources. These operational data sources include the databases and other data repositories that are utilize COMMUNICATIONS OF THE ACM April...If you compulsion to get a full essay, order it on our website:

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