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The Data Warehouse Lifecycle Toolkit, 2nd Edition Paperback – 21 Dec 2007

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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 Festig 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 Synopsis -------- Presenting the much-anticipated Second Edition, which boasts nearly 40 percent new and revised coverage, reflecting the latest best practices. This unparalleled tutorial approach covers everything from planning the data warehouse project to implementing the design and managing the data warehouse environment. The Kimball Group has streamlined the lifecycle methodology to be more efficient and user-friendly based on their thousands of hours of experience in both consulting and training. They have also revised various lifecycle topics, including dimensional modeling, data warehouse architecture, ETL, and Business Intelligence. This book contains new sections at the end of every process and techniques chapter, features coverage of managing the effort and reducing risk, assuring quality, estimating considerations, Web site resources, and more.
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