文件名称:
Evolving.Application.Domains.of.Data.Warehousing.and.Mining.Trends.and.Solutions
开发工具:
文件大小: 8mb
下载次数: 0
上传时间: 2012-11-01
详细说明： Section 1 Foundation Issues in Data Warehousing and OLAP Chapter 1 Data Warehouse Architectures: Practices and Trends............................................................................. 1 Xuegang Huang, Danske Bank Group, Denmark The wide adoption of business intelligence applications has let more and more organizations to build and maintain data warehouse systems. Concepts like “unified view of data” and “one version of the truth” have been the main drive of creating data warehouses. The dynamics of the business world poses the challenges of managing large volume, complex data in data warehouses while the real-time integration and master data needs are presented. This chapter summarizes the past and present patterns of typical data warehouse architectures and describes how the concept of service-oriented architecture influences the future evolvement of data warehouse architecture. The discussion takes many real world requirements in data warehouse solutions and lists considerations on how architecture patterns can solve these requirements. Chapter 2 Improving Expressive Power in Modeling Data Warehouse and OLAP Applications......................... 16 Elzbieta Malinowski, University of Costa Rica, Costa Rica Data warehouse and OLAP systems are widely required during the decision-support process, since they provide integrated data in a form that facilitates the expression of complex queries. In order to exploit both systems to their full capabilities, dimensions with hierarchies must be clearly defined. Dimensions can be of different types and they allow users to see quantified data from different perspectives. Hierarchies are important in analytical applications, since they give users the possibility of representing data at different abstraction levels. However, even though there are different kinds of hierarchies in real-world Detailed Table of Contents applications and some of them are already implemented in commercial tools, there is still a lack of a well-accepted conceptual model that allows decision-making users to express their analysis needs. In this chapter, we show how the conceptual multidimensional model can be used to facilitate the representation of complex hierarchies and different kinds of dimensions in comparison to their representation in the relational model and commercial OLAP tools, using as an example Microsoft Analysis Services. ...展开收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
