Bob Becker: The Data Warehouse Lifecycle Toolkit, Kartoniert / Broschiert

Kurzbeschreibung

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.

Beschreibung

Dies ist nicht die 2. Auflage des 'Data Warehouse Toolkit', sondern ein ganz neues Buch, eine Ergänzung zum Vorgängertitel. Lebenszyklus beziehtsich auf alle Stufen im gesamten Softwareentwicklungsprozeß, d. h. auf Planung, Design, Codierung, Prüfung, Implementierung und Management. Das Buch ist eine schrittweise Anleitung zu Design, Entwicklung und Einsatz von Data Warehouses. Schwierige Phasen werden von den Autoren - alle führende Data Warehouse Entwickler - sehr detailliert und verständlich erläutert, mit zahlreichen, anschaulichen Fallbeispielen aus der Praxis. Mitgeliefert wird außerdem eine CD, die u. a. nützliche Checklisten enthält. 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.

Inhaltsangabe

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 Glossary 593

Klappentext

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:
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Identify and prioritize data warehouse opportunities
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Create an architecture plan and select products
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Design a powerful, flexible, dimensional model
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Build a robust ETL system
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Develop BI applications to deliver data to business users
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Deploy and sustain a healthy DW/BI environmentv

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.

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