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首页> 外文期刊>International Journal of Engineering Science and Technology >A STUDY ON DESIGN AND ANALYSIS OF WEB MART MINING AND ITS RELEVANCE TODAY
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A STUDY ON DESIGN AND ANALYSIS OF WEB MART MINING AND ITS RELEVANCE TODAY

机译：当今网络营销的设计与分析及其相关性的研究

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摘要

Data warehousing is one of the latest trends in computing environment and information technology applications. A data warehouse is a system that extracts, cleans and delivers source data into dimensional data store and then supports and implements querying and analysis for the purpose of decision making. From a data warehouse, data flows to various departments for their customized decision support systems. These individual departmental components are called data marts. A data mart is a set of dimensional tables supporting a business process. Data marts contain all atomic detail needed to support drilling down to the lowest level. Every company or organization in the world has a website. Beneath each web site are web logs that record every object either posted to or served from the web server. Web logs are important because they reveal the user traffic on the web site. The activity of parsing web logs and storing the results in a data mart to analyze customer activity is known as click stream data warehousing. The web mart - database schema is designed to make the underlying data structure more comprehensible to users and to simplify the query process. The recommended approach for data warehouse data modeling is to follow a Dimensional Modeling approach - Star Schema. We explore the design and analysis of web mart and its relevance today at minute level.
机译：数据仓库是计算环境和信息技术应用中的最新趋势之一。数据仓库是一种系统，该系统提取，清除源数据并将其交付到维数据存储中，然后为决策目的而支持和实现查询和分析。数据从数据仓库流向各个部门，以使用其定制的决策支持系统。这些单独的部门组件称为数据集市。数据集市是一组支持业务流程的维表。数据集市包含支持深入到最低级别所需的所有原子细节。世界上每个公司或组织都有一个网站。每个网站下方都有Web日志，记录了发布到Web服务器或从Web服务器提供服务的每个对象。 Web日志很重要，因为它们可以揭示网站上的用户流量。解析Web日志并将结果存储在数据集市中以分析客户活动的活动称为点击流数据仓库。 Web集市数据库模式旨在使用户更容易理解基础数据结构并简化查询过程。推荐的数据仓库数据建模方法是遵循维建模方法-Star Schema。今天，我们将在微观层面上探讨Web集市的设计和分析及其相关性。

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