数据仓库系统：设计与实现

English | PDF | 2014 | 639 Pages | ISBN : 3642546544 | 17.78 MB

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available athttps://cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter.

Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.

通过这本教科书，Vaisman和Zimányi提供了从最基础原则到最近发现及应用的数据仓库和商业智能技术的全面覆盖。为了实现这一目标，他们的工作被分为三部分。第一部分描述了“基本概念”，包括多维模型；概念性和逻辑数据仓库设计以及MDX和SQL/OLAP。随后，第二部分详细说明了“实施与部署”，其中包括物理数据仓库设计、数据抽取、转换和加载（ETL）以及数据分析。最后，第三部分涵盖了诸如空间数据仓库、轨迹数据仓库、数据仓库中的语义技术及新型技术如Map Reduce、列式存储数据库和内存数据库等高级话题。 作为本书的一个关键特性，大多数主题都通过应用工具来呈现并加以说明。具体而言，一个基于知名Northwind数据库的案例研究展示了如何利用Microsoft Analysis Services和Pentaho Business Analytics实现书中的概念。所有章节均用复习问题和练习来总结以支持全面的学生学习。为协助使用这本书作为课程教材的教师提供了补充材料，可访问https://cs.ulb.ac.be/DWSDIbook/，其中包括电子版图表、所有练习的解答以及每章配套的幻灯片。 总体而言，学生们、从业者及研究人员都将发现这本教科书是最全面的数据仓库参考工作之一，它用清晰且易于理解的方式描述了关键主题。

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