The Data Warehouse Lifecycle Toolkit(2)

個数:1
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¥11,094
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  • ポイントキャンペーン

The Data Warehouse Lifecycle Toolkit(2)

  • 著者名:Kimball, Ralph/Ross, Margy/Thornthwaite, Warren/Mundy, Joy/Becker, Bob
  • 価格 ¥7,124 (本体¥6,477)
  • Wiley(2011/03/08発売)
  • 冬の読書を楽しもう!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~1/25)
  • ポイント 1,600pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780470149775
  • eISBN:9781118079560

ファイル: /

Description

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.

Table of Contents

Chapter 1 Introducing the Kimball Lifecycle 1

Chapter 2 Launching and Managing the Project/Program 15

Chapter 3 Collecting the Requirements 63

Chapter 4 Introducing the Technical Architecture 109

Chapter 5 Creating the Architecture Plan and Selecting Products 179

Chapter 6 Introducing Dimensional Modeling 233

Chapter 7 Designing the Dimensional Model 287

Chapter 8 Designing the Physical Database and Planning for Performance 327

Chapter 9 Introducing Extract, Transformation, and Load 369

Chapter 10 Designing and Developing the ETL System 425

Chapter 11 Introducing Business Intelligence Applications 473

Chapter 12 Designing and Developing Business Intelligence Applications 505

Chapter 13 Deploying and Supporting the DW/BI System 541

Chapter 14 Expanding the DW/BI System 579 

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