The Microsoft Data Warehouse Toolkit

本书提供了一套针对微软SQL Server 2005平台的数据仓库及商业智能系统的实施策略,覆盖了从需求收集到系统维护等全过程,并强调了业务导向的重要性。

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 Both CHM and PDF Formats in the RAR Book Description This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: * Planning a small to mid-range data warehouse project; * Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; * Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. Visit the companion Web site at Code: www.wiley.com/go/MsftDWToolkit The companion Web site contains all the code samples, the sample database used throughout, sample templates, and other job aids. # 792 pages # Publisher: Wiley (February 13, 2006) # Language: English # ISBN-10: 0471267155 # ISBN-13: 978-0471267157 http://rapidshare.com/files/85472706/Tool_S.rar
数据仓库工具包是一本关于数据仓库设计和实施的重要参考书籍。该书的PDF版本提供了便捷的电子阅读方式,并且可以在计算机、平板电脑和手机等设备上随时查阅。 《Data Warehouse Toolkit》一书是由Kimball团队撰写的经典之作。这本书详细介绍了数据仓库的各个方面,包括维度建模、事实表、维度表、缓慢变化维度、ETL过程等等。它提供了丰富的示例和案例,让读者可以深入理解如何构建一个高效、可靠的数据仓库。 数据仓库工具包的PDF版本可以方便地在实际操作中使用。通过电子阅读,读者可以随时翻阅书中的内容,查找需要的信息。无论是分析业务需求,设计数据模型,还是进行ETL开发,读者都可以通过PDF版本快速获取所需知识,提高工作效率。 此外,数据仓库工具包的PDF版本还具有便携性和可搜索性的优势。读者可以将该PDF文件存储在电子设备中,随时随地查阅书中内容,无需携带纸质书籍。同时,通过搜索功能,读者可以快速定位关键词,找到需要的信息,提高查找效率。 总而言之,数据仓库工具包的PDF版本是一本非常有价值的书籍,在数据仓库建设中发挥着重要的作用。它提供了丰富的知识和实例,让读者能够更好地理解和应用数据仓库的设计和实施。通过PDF版本,读者可以方便地获取所需信息,提高工作效率,同时还具有便携性和可搜索性的优势。
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