分享
 
 
 

数据仓库与SQL服务器 2003:及微软商务智能工具包 The Microsoft Data Warehouse Toolkit

数据仓库与SQL服务器 2003:及微软商务智能工具包 The Microsoft Data Warehouse Toolkit  点此进入淘宝搜索页搜索
  特别声明:本站仅为商品信息简介,并不出售商品,您可点击文中链接进入淘宝网搜索页搜索该商品,有任何问题请与具体淘宝商家联系。
  參考價格: 点此进入淘宝搜索页搜索
  分類: 图书,进口原版书,科学与技术 Science & Techology ,

作者: Joy Mundy著

出 版 社: 吉林长白山

出版时间: 2007-8-1字数:版次: 1页数: 746印刷时间: 2006/02/01开本:印次:纸张: 胶版纸I S B N : 9780471267157包装: 平装编辑推荐

作者简介:

Joy Mundy, a member of the Kimball Group, has been developing, consulting on, and speaking and writing about business intelligence systems and technology since 1992. Joy began her career as a business analyst in banking and finance as one of the power users we talk about in business intelligence. In 1992 she joined the data warehouse team at Stanford University, an effort that was both educational and character building. She next co-founded InfoDynamics LLC, a data warehouse consulting firm, and then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged business intelligence system. From 2000 to 2004, Joy worked with the Microsoft SQL Server Business Intelligence product development team. She managed a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy graduated from Tufts University with a B.A. in Economics, and from Stanford with an M.S. in Engineering Economic Systems.

内容简介

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.

目录

Contents.

Foreword.

Preface.

Acknowledgments.

Introduction.

PART I: REQUIREMENTS, REALITIES, AND ARCHITECTURE.

1. Defining Business Requirements.

2. Designing the Business Process Dimensional Model.

3. The Toolset.

PART II: DEVELOPING AND POPULATING THE DATABASES.

4. Setup and Physical Design.

5. Designing the ETL System.

6. Developing the ETL System.

7. Designing the Aanalysis Services OLAP Database.

PART III: DEVELOPING THE BI APPLICATIONS.

8. Business Intelligence Applications.

9. Building the BI Application in Reporting Services.

10. Incorporating Data Mining.

PART IV: DEPLOYING AND MANAGING THE DW/BI SYSTEM.

11. Working with an Existing Data Warehouse.

12. Security.

13. Metadata.

14. Deploying the BI System.

15. Operations and Maintenance.

PART V: EXTENDING THE DW/BI SYSTEM.

16. Managing Growth.

17. Real-Time Business Intelligence.

18. Present Imperatives and Future Outlook.

Index.

 
 
免责声明:本文为网络用户发布,其观点仅代表作者个人观点,与本站无关,本站仅提供信息存储服务。文中陈述内容未经本站证实,其真实性、完整性、及时性本站不作任何保证或承诺,请读者仅作参考,并请自行核实相关内容。
2023年上半年GDP全球前十五强
 百态   2023-10-24
美众议院议长启动对拜登的弹劾调查
 百态   2023-09-13
上海、济南、武汉等多地出现不明坠落物
 探索   2023-09-06
印度或要将国名改为“巴拉特”
 百态   2023-09-06
男子为女友送行,买票不登机被捕
 百态   2023-08-20
手机地震预警功能怎么开?
 干货   2023-08-06
女子4年卖2套房花700多万做美容:不但没变美脸,面部还出现变形
 百态   2023-08-04
住户一楼被水淹 还冲来8头猪
 百态   2023-07-31
女子体内爬出大量瓜子状活虫
 百态   2023-07-25
地球连续35年收到神秘规律性信号,网友:不要回答!
 探索   2023-07-21
全球镓价格本周大涨27%
 探索   2023-07-09
钱都流向了那些不缺钱的人,苦都留给了能吃苦的人
 探索   2023-07-02
倩女手游刀客魅者强控制(强混乱强眩晕强睡眠)和对应控制抗性的关系
 百态   2020-08-20
美国5月9日最新疫情:美国确诊人数突破131万
 百态   2020-05-09
荷兰政府宣布将集体辞职
 干货   2020-04-30
倩女幽魂手游师徒任务情义春秋猜成语答案逍遥观:鹏程万里
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案神机营:射石饮羽
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案昆仑山:拔刀相助
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案天工阁:鬼斧神工
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案丝路古道:单枪匹马
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案镇郊荒野:与虎谋皮
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案镇郊荒野:李代桃僵
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案镇郊荒野:指鹿为马
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案金陵:小鸟依人
 干货   2019-11-12
倩女幽魂手游师徒任务情义春秋猜成语答案金陵:千金买邻
 干货   2019-11-12
 
推荐阅读
 
 
>>返回首頁<<
 
靜靜地坐在廢墟上,四周的荒凉一望無際,忽然覺得,淒涼也很美
© 2005- 王朝網路 版權所有