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The Data Warehouse Lifecycle Toolkit
 
 
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4.2 out of 5 stars See all reviews (6 customer reviews)

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The Data Warehouse Lifecycle Toolkit + The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin + The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition)
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Editorial Reviews

Review
(...)
Das Buch richtet sich primdr an Designer und Informations-Manager im Umfeld von Data-Warehouse-Anwendungen. Diese Zielgruppe erhdlt Ratschldge und Handlungsanleitungen, um deren Anforderungen optimal zu bewdltigen. Dabei ist der ganzheitliche Ansatz zu betonen, der eine evolutiondre Weiterentwicklung besser als singuldre Schnellsch]sse unterst]tzen kann. auch der zugrundeliegende Architekturcharakter trdgt zur Festigung dieser Intension bei. Zu knapp werden die Themen Data Mining und Parallelverarbeitung angesprochen; ebenfalls fehlen zur Vertiefung weiterf]hrende Literaturhinweise. Insbesondere SMP und MPP bieten f]r die praktische Realisierung wichtige Unterst]tzungshilfen. Wobei zur Verbesserung der Performance die Fdhigkeit einiger DBMS Abfragen zu optimieren und parallel zu verarbeiten n]tzlich ist.
IT-Director 10/2000

Product Description
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. With this new edition, Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. They walk you through the detailed steps of designing, developing, and deploying a data warehousing/business intelligence system. With substantial new and updated content, this second edition again sets the standard in data warehousing for the next decade.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
front room architecture, more foreign keys, surrogate key pipeline, level model diagram, business process dimensional models, initial index plan, error event schema, real time partition, presentation server layer, enterprise bus architecture, data warehouse bus matrix, business project lead, high level dimensional model, operational natural keys, presentation server architecture, architecture plan document, data quality screens, core modeling team, primary test dataset, business rule screens, snapshot fact table, core business users, surrogate key generator, query management services, incremental load process
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Introducing Extract, Kimball Lifecycle, Introducing the Technical Architecture, Future Task, Introducing Business Intelligence Applications, Introducing Dimensional, Product Key, Develop One-Time Historic Load Processing, Collecting the Requirements, Types of Business Intelligence Applications, Key Deliverables Key, Key Roles Key, Select Products, System Deployment, Plan the Project, Designing the Dimensional Model, Back Room Architecture, Sum Sum, Develop Incremental, Design the Dimensional Model, Order Number, Deal Key, Order Line Number, Business Intelligence Application Development, Business Intelligence Application Specification
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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Customer Reviews

6 Reviews
5 star:
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Average Customer Review
4.2 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
12 of 16 people found the following review helpful:
5.0 out of 5 stars A must read for all DW/BI professionals, January 23, 2008
Another awesome book by the Kimball Group. This 2nd edition is a great improvement over the original with lots of new material and new spins on old material.

This is a must read for anybody claiming to be a DW/BI Professional.
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7 of 9 people found the following review helpful:
5.0 out of 5 stars What Every DW/BI professional should have on his or her desk, February 13, 2008
The first edition, while very valuable and still relevant was getting long in the tooth - it was published 10 years ago. This book remains pragmatic and useful for just about every role assoiciated with the data warehouse and business intelligence. My favorite chapter is on Collecting the Requirements but you will find sections that will make a difference in your DW/BI project implementation and sustainance.
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2 of 3 people found the following review helpful:
5.0 out of 5 stars Excellent step-by-step explanations, September 30, 2008
Love this book. Written mostly in plain English (for those of us who are not techies).. it also provides sections were it deciphers technical acronyms and concepts.
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Most Recent Customer Reviews

4.0 out of 5 stars Learning the language of data warehousing
What I found compelling about this book is that it teaches you the lingo of the data warehouse. Just what is a fact or a dimension and why would you call it that and how would you... Read more
Published 1 month ago by F. Hu

1.0 out of 5 stars No active links
The publisher didn't include active links in the Kindle version. With fiction books that isn't much of an issue, since a reader generally reads from start to finish. Read more
Published 4 months ago by Sam Vikers

5.0 out of 5 stars DW Lifecycle
This book is really very good. If you have big experience with DW/BI projects, or even you are a beginner, it shows you all steps to create a sucessuful project.
Published 12 months ago by Vasco Roberto M. Braga

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