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The Data Warehouse Lifecycle Toolkit

Paperback Engels 2008 9780470149775
Verkooppositie 4432
Op voorraad | Vandaag voor 21:00 uur besteld, morgen in huis

Samenvatting

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.

Specificaties

ISBN13:9780470149775
Taal:Engels
Bindwijze:paperback
Aantal pagina's:672
Druk:2
Verschijningsdatum:4-1-2008
Hoofdrubriek:IT-management / ICT

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Over Warren Thornthwaite

Warren Thornthwaite has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan.

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Over Joy Mundy

Joy Mundy has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems.

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Inhoudsopgave

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

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