The Data Warehouse Lifecycle Toolkit 在线电子书 图书标签: 数据仓库 BI 计算机 DW 美国 商业 data-mining Kimball
发表于2024-12-23
The Data Warehouse Lifecycle Toolkit 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
学习多维数据模型最好的书了,我花了五六百块钱买的英文原版,其实现在也没有每章都看完,基本架构和核心内容掌握了。这个执行过程偏向传统数据仓库,在互联网时代,要吸收并抛弃着使用。
评分@太详细了点儿,其他还好。
评分学习多维数据模型最好的书了,我花了五六百块钱买的英文原版,其实现在也没有每章都看完,基本架构和核心内容掌握了。这个执行过程偏向传统数据仓库,在互联网时代,要吸收并抛弃着使用。
评分学习多维数据模型最好的书了,我花了五六百块钱买的英文原版,其实现在也没有每章都看完,基本架构和核心内容掌握了。这个执行过程偏向传统数据仓库,在互联网时代,要吸收并抛弃着使用。
评分学习多维数据模型最好的书了,我花了五六百块钱买的英文原版,其实现在也没有每章都看完,基本架构和核心内容掌握了。这个执行过程偏向传统数据仓库,在互联网时代,要吸收并抛弃着使用。
A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions. With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to: Identify and prioritize data warehouse opportunities Create an architecture plan and select products Design a powerful, flexible, dimensional model Build a robust ETL system Develop BI applications to deliver data to business users Deploy and sustain a healthy DW/BI environment The authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com. This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books: The Data Warehouse Toolkit , 2nd Edition (9780471200246) The Data Warehouse Lifecycle Toolkit , 2nd Edition (9780470149775) The Data Warehouse ETL Toolkit (9780764567575)
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The Data Warehouse Lifecycle Toolkit 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024